A review of PID control, tuning methods and applications

Optimum Settings for Automatic Controllers

Ziegler, J. G., & Nichols, N. B. (1942) · Transactions of the American Society of Mechanical Engineers · doi:10.1115/1.4019264 · Cited by 5,230

Optimum Settings for Automatic Controllers

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A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR System

Gaing, Z.-L. (2004) · IEEE Transactions on Energy Conversion · doi:10.1109/tec.2003.821821 · Cited by 1,775

The future of PID control

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Fuzzy gain scheduling of PID controllers

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Automatic tuning and adaptation for PID controllers - a survey

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Automatic tuning of optimum PID controllers

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PID controllers: recent tuning methods and design to specification

Cominos, P., & Munro, N. (2002) · IEE Proceedings - Control Theory and Applications · doi:10.1049/ip-cta:20020103 · Cited by 523

An optimal fuzzy PID controller

Tang, K. S., Man, K. F., Chen, G., & Kwong, S. (2001) · IEEE Transactions on Industrial Electronics · doi:10.1109/41.937407 · Cited by 456

Tuning of PID controllers with fuzzy logic

Visioli, A. (2001) · IEE Proceedings - Control Theory and Applications · doi:10.1049/ip-cta:20010232 · Cited by 351

Case Study: Nanocomposite-Based 3D Printing and the Implementation of Quality Management to Enhance the Production of Automotive Parts

Oliveira, V. S., Horiuchi, L. N., Gonçalves, A. P., Souza, M. C., & Polkowski, R. (2025) · SAE technical papers on CD-ROM/SAE technical paper series · doi:10.4271/2025-36-0206

PID-Like Controllers for a Class of Uncertain Underactuated Nonlinear Systems with Application to Wafer-handling Robot

Saaideh, M. A., Boker, A., & Janaideh, M. A. (2025) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc57313.2025.11312797

Automatically Stopping Bayesian Optimization under Uncertain Surrogate Model Means

He, H. J., Koppel, A., Bedi, A. S., Farhood, M., & Stilwell, D. J. (2025) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc57313.2025.11312771

Machine Learning and Derivative-Free Optimization for PID Tuning: Case Study of Improved Black Liquor Concentration Control

El-Koujok, M., Zhang, H., Ghezzaz, H., Amazouz, M., & Elkamel, A. (2025) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit66093.2025.11321361

Design and Development of a Simulation System for Pipeline Rust Removal Robots Based on Deep Learning

Han, K., Liu, X., Zhang, D., Li, H., Tao, X., & Wang, H. (2025) · International Conference on Digital Society and Intelligent Systems (DSInS) · doi:10.1109/dsins68311.2025.11330117

Development of a lower limb robotic exoskeleton for mobilization of pediatric users

Cruz-Cortes, A., Ballesteros, M., & Ortiz, D. C. (2025) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit66093.2025.11321570

UM CONTROLADOR ADAPTATIVO ÓTIMO BASEADO EM APRENDIZADO ONLINE ATOR-CRÍTICO PARA UM MANIPULADOR ROBÓTICO

Rêgo, P. H. M., & Sousa, J. M. B. D. (2026) · Boletim de Conjuntura (BOCA) · doi:10.56238/bocav25n74-031

A Deep Deterministic Policy Gradient‐Compensated Backstepping Controller for Adaptive Tracking and Aiming in Aerial Two‐ DOF Gimbal System

Wang, K., Si, P., Song, J., Zhang, K., Li, Z., & Wu, Z. (2026) · International Journal of Adaptive Control and Signal Processing · doi:10.1002/acs.70035

A RISC-V Based Robotic Processor with Matrix Acceleration and PID Array

Liu, J., Zeng, L., Chen, R.-Z., Ren, Z., Wu, J., Deng, J., Gong, L., Gan, Z., & Zou, Z. (2025) · IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) · doi:10.1109/icta68203.2025.11329632

Neural Network-Based Controller for Trajectory Tracking of a Rotary-Wing Unmanned Autonomous Vehicle in AirSim

Herrera, A. M. C., Recalde, Á. A. R., Velásquez, W., Zhao, S., & Cajo, R. (2025) · IEEE Colombian Caribbean Conference (C3) · doi:10.1109/c366505.2025.11340349

Research on thermal management control strategies for batteries and air conditioning systems in pure electric vehicles

Qin, Z., Yin, C., Weng, W., Zhang, W., Liu, D., Zhang, Z., & Han, Z. (2026) · Journal of Thermal Analysis and Calorimetry · doi:10.1007/s10973-025-15253-x

Adaptive core-enhanced latent factor model for highly accurate QoS prediction

Ai, S., Li, P., Fang, H., & Xia, Y. (2026) · Frontiers in Big Data · doi:10.3389/fdata.2026.1775728

Contribution to the Study of Hysteresis Current Mode Control for Buck Converters

Mecabô, G., Vidor, D., Greff, D. G., & Juliani, A. D. P. (2025) · Brazilian Power Electronics Conference (COBEP) · doi:10.1109/cobep66423.2025.11369940

Uncertainty Predictive Observer-Based Model-Free Adaptive Disturbance Rejection Control

Hui, Y., Chi, R., Liu, Y., Hou, Z., & Huang, B. (2026) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2026.3654943

Digital Twin Metamodeling for the Control Performance Design of EHA Systems Under Hybrid Uncertainty

Wu, M., Liu, Z., Luo, J., Song, Z., Chu, B., & Minghao, T. A. I. (2026) · Lecture notes in mechanical engineering · doi:10.1007/978-981-95-3022-9_44

Dynamic modeling of a class of quadrotor unmanned aerial vehicles and its control via proportional-integral-derivative and input-output feedback linearization methods

Gritli, H., Gharbi, M. A., Narayan, J., Azar, A. T., & Fekik, A. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-30106-3.00006-3

Research on Fast Load Ramping Methods for Thermal Power Units Based on Kernel Bandwidth Adaptive Particle Filter–MPCPreprint

Sun, H., Guo, C., Wang, J., Wang, Q., Yan, H., & Zou, T. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6251784

Design and Simulation Analysis of Electric Heating Cable Control Algorithms

Guo, Y., Liu, Q., Quan, L., Guan, X., Liu, X., & Ding, W. (2025) · doi:10.1109/mcai66356.2025.11381942

Performance optimization of joint permanent magnet synchronous motor based on improved gray wolf algorithm

Zhu, X., Hu, Y., Zeng, D., & Yang, J. (2026) · Robotica · doi:10.1017/s0263574725103111

Comparative Optimal Tuning of a PID Controller for a SEDC Motor Using MCTA and TLBO

Salim, Z. S., Shary, D. K., & Almukhtar, H. D. (2026) · Applied Mechanics and Materials · doi:10.4028/p-wb9ws0

Enhancing Control Performance in Non-Linear Processes: A Comparative Study of Adaptive PID Control Approaches

Vega, S., Vasquez-Guevara, M., & Camacho, O. E. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-3-032-17899-2_7

Disturbance-compensation-based robust internal model control for artillery servo systems with multiple uncertainties

Song, P., Pan, Z., Ma, X., Guo, C., Zhang, Y., & Cheng, P. (2026) · International Journal of Dynamics and Control · doi:10.1007/s40435-026-02034-z

VelKoz: Generating Accelerators for Rigid-Flexible Robots through Domain Specific High-level Synthesis

Geng, G., Hao, Y., Han, Y., Feng, Y., & Gan, Y. (2026) · ACM Transactions on Design Automation of Electronic Systems · doi:10.1145/3797482

Neural Network-Based PID Power Tracking Control of Compressed Air Energy Storage Considering Renewable Energy Fluctuations

Zhou, W., Zheng, X., Chen, X., Cui, S., Wang, K., & Chen, L. (2025) · International Conference on Power Systems, Smart Grid, and Artificial Intelligence (PSGAI) · doi:10.1109/psgai68158.2025.11413477

Dynamic modelling and tracking control of electro-responsive hydrogel with hysteresis and creep nonlinearity

Wang, Y., Liu, X., Zhang, Y., Wu, J., & Su, C.-Y. (2026) · Journal of Control and Decision · doi:10.1080/23307706.2026.2626992

A Virtual–Real Combination Experiment System for Multirotor AAV Assembly and Swarm Cooperation

Yu, D., Lei, L., Shen, G., & Cai, S. (2026) · IEEE Transactions on Education · doi:10.1109/te.2026.3665332

Efficient Fan Speed Regulation Control: Lightweight Closed-Loop Optimization via MLP Feedforward and PID Fine-Tuning

Song, X. (2026) · International Conference on Electrical Engineering, Intelligent Control and Artificial Intelligence (EEICAI) · doi:10.1109/eeicai68535.2026.11441760

A Volleyball Training Robot Based on PLF Algorithm and Four Omnidirectional Wheel Chassis

Guo, X., Zheng, H., Huang, X., Lu, Y., Shi, C., & Li, M. (2025) · IEEE International Conference of Safe Production and Informatization (IICSPI) · doi:10.1109/iicspi66775.2025.11437587

Steering overshoot suppression in autonomous vehicles via a magnetorheological assisted steering system

Afzal, B., Qiu, S., Yew, E. A. T., Li, B., & Sun, S. (2026) · Smart Materials and Structures · doi:10.1088/1361-665x/ae58d8

Enhanced bolt positioning for electrified railway catenary systems via small object detection and depth-aware visual servoing

Nie, Z., Liu, H., Xu, J., & Liu, Y. (2026) · Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science · doi:10.1177/09544062261434390

Studies to reduce greenhouse gases emissions from particles detectors operation at the CERN LHC experiments

Rigoletti, G. (2022) · doi:10.70675/76b5e4a1z0219z4feaz8cf8z7a8b541ffb22

Reinforcement Learning-based PID Control of Rössler Oscillator

Das, D., Taralova, I., Slavov, T. N., Loiseau, J. J., & Pandey, M. K. (2025) · International Conference on Electrical, Computer and Energy Technologies (ICECET) · doi:10.1109/icecet63943.2025.11472569

Development of an Algorithm for an Automated Tuning System for the Pid Controller of a Servo Cylinder Based on a Mathematical Model of a Hydraulic Drive

Kolotov, A. A. (2026) · Intellekt Sist Proizv · doi:10.22213/2410-9304-2026-1-35-42

Reduced Order Models for Precision Thermal Control of Earth Observation Telescope

Chourasia, R., Adoni, A. A., & Srinivasan, B. (2026) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4071645

Learning-augmented PID gain scheduling for nonlinear process systems

Rajesh, T., & Pillai, A. S. (2026) · International Journal of Systems Science · doi:10.1080/00207721.2026.2646957

Arithmetic optimization algorithm based PID control for reduced order motorized wheelchairs with real time MIL SIL PIL validation

Harrade, I., Kmich, M., Karmouni, H., Chalh, Z., Sayyouri, M., Farh, H. M. H., & Al-Shamma’a, A. A. (2026) · Scientific Reports · doi:10.1038/s41598-026-47689-y

UAV Trajectory Tracking Based on Fuzzy Adaptive PID Control

Liu, H., Ding, T., Huang, R., Wang, G., Wu, H., & Hu, S. (2025) · World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM) · doi:10.1109/wcmeim67790.2025.11467102

Dynamic modelling and fuzzy adaptive fast integral terminal sliding mode control of armed vehicle system under the influence of standardized road disturbances

Şen, M. A., & Zaif, D. (2026) · Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering · doi:10.1177/09544070261441380

Systematic Tuning and Experimental Validation of a Nonlinear PID Controller for Temperature Process Tracking

Caiza, L., Herrera, M., Benítez, D. S., & Camacho, O. E. (2026) · Communications in computer and information science · doi:10.1007/978-3-032-20900-9_2

Comparative evaluation of GA and PSO for multi-objective trajectory control of a 3-DOF robot under payload variations

Gülbahçe, E. (2026) · Physica Scripta · doi:10.1088/1402-4896/ae6147 · Cited by 1

Optimized PID Tuning for Mobile Robots Based on an Adaptive PSO Algorithm

Jiao, Y., Yan, L., Zheng, Y., Tu, M., & Wang, W. (2026) · Lecture notes in networks and systems · doi:10.1007/978-3-032-16794-1_7

Temporally-Structured PID Reward Shaping in Reinforcement Learning for Robust Path Planning of Mobile Robots in Mining Environments

Camacho, C., Alcayaga, J. A., Herrera, M., Camacho, O. E., & Prado-Romo, A. J. (2025) · IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) · doi:10.1109/chilecon66915.2025.11476595

Co-Design of Propulsion and Control Systems for High-Altitude Meteorological Multirotor

Supsukbaworn, T., Photeam, C., Jetawatthana, S., & Khamvilai, T. (2026) · Journal of Aircraft · doi:10.2514/1.c038723

Adviser–Actor–Critic: A Precision-Oriented Reinforcement Learning Framework for Space Robotics Control

Chen, D., Yue, J., Peng, Y., Cheng, L., & Gong, S. (2026) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2026.3687197

Performance Evaluation of Fuzzy Logic and Nonlinear PID Controllers for Antenna Positioning Systems

Mukhtar, A. A., Gaya, M. S., Wahab, N. A., & Gana, S. M. (2026) · Communications in computer and information science · doi:10.1007/978-981-92-0306-2_4

Generative AI meets classical control: hybrid few-shot PI tuning for autonomous robots

Nazir, K., Kim, Y., Kang, C.-U., & Byun, Y.-C. (2026) · PeerJ Computer Science · doi:10.7717/peerj-cs.3742

WSINDy for model predictive control with applications to fusion, drones and chaos

López, C., Partridge, M., Pascuale, S. D., Lore, J., Christlieb, A. J., Becker, S., & Bortz, D. M. (2026) · Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rspa.2026.0413

Development and evaluation of optimized PID-based controllers during perturbations and load-following operations in VVER nuclear reactors

Salman, A. E., & Gomaa, H. E. M. (2026) · Annals of Nuclear Energy · doi:10.1016/j.anucene.2026.112433

PUMA-Based PID Control of DC Actuators for Handiski and Human-Interactive Systems

Alanazi, A. A., Alali, L., & Houda, T. (2026) · IEEE International Conference on Communication Systems and Network Technologies (CSNT) · doi:10.1109/csnt69054.2026.11502537

Online reinforcement learning-based real-time stabilization framework for quadrotors

Tukenmez, N., & Bogosyan, S. O. (2026) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2026.115040

A GA-ACO Path Planning Algorithm and PID Controller with XGBoost Optimizer for Molten Steel Sampling Robots

Li, Z. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-3316-9_58

A Path Planning Algorithm with Grey Wolf Optimizer and Intelligent Controller for Transfer Robots

Chen, J., Ma, H., Liu, R., & Wang, M. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-95-3316-9_37

An optimized neuro-fuzzy control approach for pH neutralization in industrial wastewater treatment systems

Ramaraj, S. K., Chandran, R., Sivaraju, S. S., & Anuradha, T. (2026) · Matéria (Rio de Janeiro) · doi:10.1590/1517-7076-rmat-2025-0931

Flexible and Safe Robust Position Control of PMSM Servo Drives for Robotic Systems with Unknown Uncertainties

Liu, H., Lai, Y., Lian, H., Wang, G., & Zheng, D. (2026) · Journal of Advanced Computational Intelligence and Intelligent Informatics · doi:10.20965/jaciii.2026.p0653

A physics-integrated learning MPC framework for Six-DOF flight control under complex flight conditions

Ma, J., Zhu, Q., & Dong, Y. (2026) · Aerospace Science and Technology · doi:10.1016/j.ast.2026.112615

PID-Based Position Control of a Robotic Arm with Adaptive Gain Tuning

Bashabsheh, M., Alzubi, M., Alrefai, M., & AlZoubi, A. (2026) · International Conference on Smart Multidomain Integrated Learning Environments (ICSMILE) · doi:10.1109/icsmile69273.2026.11519178

Experimental Assessment of Control Loop Performance: A Methodology for Comparing On–Off and PID Actions in Dissolved Oxygen Regulation

Magallanes, J., Palomino, S., Gutarra, A., & Alegria, E. O. J. (2026) · Automation · doi:10.3390/automation7030079

AI-empowered online optimization adopting local energy gradient for robust and energy-efficient control of building cooling systems

Xie, L., Shan, K., Tang, H. X., & Wang, S. (2026) · Journal of Building Engineering · doi:10.1016/j.jobe.2026.116448

High-precision PID tuning via waveform asymmetry correction with fast convergence for industrial applications

Jie, L. (2026) · Journal of Power Electronics · doi:10.1007/s43236-026-01347-8

Adaptive PID Parameter Optimization Based on Reinforcement Learning

Jian, Y., Sun, Y., Yu, K., Zhou, W. Y., Zheng, C., Dang, S., Yuan, J., Zhou, S., Yang, X., & Jin, C. (2026) · Journal of Physics Conference Series · doi:10.1088/1742-6596/3249/1/012009

Designing an Optimal PID for Heading Control of a linearized High Speed container ship using Adaptive Particle Swarm Optimization Algorithm

Shahri, E. S. A. (2026) · International Journal of Maritime Technology · doi:10.66224/ijmt.22.1.48

Research on Path Tracking Control Strategy for Tracked Vehicles Based on Sliding Mode and PID Control

Long, J., Wang, P., Miao, Y., Huang, K., & Chen, J. (2026) · Lecture notes in mechanical engineering · doi:10.1007/978-981-95-7097-3_32

Dual Neural Networks and PID Framework for Adaptive Trajectory Tracking Control of Manipulators: A Convergence-Centric Approach

Moran-Armenta, M., Aguilar-Ibañez, C. F., & Moreno–Valenzuela, J. (2026) · Cybernetics & Systems · doi:10.1080/01969722.2026.2676964

Research on Modeling and Control of Turbine-Driven Coaxial Boiler Feed Pump Speed Regulation System Based on an Improved BP-PID Algorithm

Ma, N., Liu, L. F., Tai, Y., Feng, B., Wang, L., Yang, Z., & Yan, L. (2026) · Mathematics · doi:10.3390/math14122049

Design and control of a robust automatic coffee washing machine for improved efficiency, consistency, and product quality

Emerie, E. T., Paramasivam, V., Fentaw, B. A., Woldegiorgis, B. H., & Emma, A. F. (2026) · Applied Food Research · doi:10.1016/j.afres.2026.102286

GRU-Based Online PID Gain Scheduling Enhanced by High-Quality Dataset Construction

Zhao, X., Dong, Z., Zhu, Τ., & Zhu, J. (2026) · Applied Sciences · doi:10.3390/app16126032

Metaheuristic-Optimized PID, LQR, and $H_{\infty}$ Controllers for Quadrotor UAV Attitude Control

Al-Qadasi, Y. A., Alyazidi, N. M., & Shafiullah, M. (2026) · International Multi-Conference on Systems, Signals & Devices (SSD) · doi:10.1109/ssd69655.2026.11558935

Adaptive Control for Energy Optimization in Data Center

Farinda, R., Palitai, K., Popiołek, K., & Seganti, A. (2026) · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · doi:10.1145/3744256.3812552

The PIDA Controller Design Simulator

Vatansever, F., & Hatun, M. (2026) · Gazi Üniversitesi Fen Bilimleri Dergisi Part C Tasarım ve Teknoloji · doi:10.29109/gujsc.1907759

Real-Time Estimation and Optimal Control of Supersaturation in Sugar Crystallization using Model-based Soft Sensor

Lohani, A., Fedor, A., Kurucz, J., & Paulen, R. (2026) · Systems and Control Transactions · doi:10.69997/sct.103983

Simultaneous identification of system and interactive fault parameters in an active magnetic bearing integrated rotor train system with offset disc configuration: numerical and experimental validation

Gautam, A. K., & Tiwari, R. (2026) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2026.114590

Composite Anti-Windup Control for Fixed-Wing Aircraft: An Improved State-Dependent and Hybrid Compensation Approach

Ji, W., Lin, Y., & Liu, K. (2026) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc69976.2026.11559920

Performance Optimization and Stability Analysis of a DC-DC Boost Converter Using Classical PID Control Schemes

Jamil, M. U., Ahmad, I., Zahid, M., Naseer, U., Farhan, M., & Sanaullah, R. (2026) · International Conference on IT and Industrial Technologies (ICIT) · doi:10.1109/icit68548.2026.11577697

Performance Optimization and Stability Analysis of a DC-DC Boost Converter Using Classical PID Control Schemes

Jamil, M. U., Ahmad, I., Zahid, M., Naseer, U., Farhan, M., & Sanaullah, R. (2026) · International Conference on IT and Industrial Technologies (ICIT) · doi:10.1109/icit68548.2026.11577661

Performance Optimization and Stability Analysis of a DC-DC Boost Converter Using Classical PID Control Schemes

Jamil, M. U., Ahmad, I., Zahid, M., Naseer, U., Farhan, M., & Sanaullah, R. (2026) · International Conference on IT and Industrial Technologies (ICIT) · doi:10.1109/icit68548.2026.11577705

Comparative Evaluation of FOPID, Adaptive Neural Fopid, and Robust $\mathrm{H} \infty$ Controllers for a Rotary Hearth Furnace Subject to Disturbances

Motorga, R.-M., Mureşan, V., Abrudean, M., Clitan, I., Ungureșan, M.-L., & Sita, V. (2026) · IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR) · doi:10.1109/aqtr70159.2026.11577993

Feasibility Study of Pressure Pulse Transmission for Wireless Communication in CO2 Injection Well

Fang, Y., Huang, Q., Xu, C., Wang, B., Wang, R., Wang, H., Cheremisin, А., & Stanchits, S. A. (2026) · Mechanisms and machine science · doi:10.1007/978-3-032-11169-2_48

From Open Loop to Closed Loop: A Test-Time Iterative Optimization Framework for Reference-Consistent Image Generation

Zhao, B., Zhang, X., Zheng, H., Liu, S., Min, X., Zhai, G., & Liu, X. (2026) · Lecture notes in computer science · doi:10.1007/978-3-032-37592-6_25

Design of a flow measurement and control instrument for steel shot blasting

Liu, S., Xiao, Y., & Li, H. (2026) · Instrumentation Science & Technology · doi:10.1080/10739149.2026.2697446

Civil aircraft automatic landing guidance based on cascaded fractional-order proportional-integral-derivative with an intelligent parameter optimizer

Zhai, S., Li, G., Mu, J., Cheng, J., & Hou, M. (2026) · Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering · doi:10.1177/09544100261466724

Spiking neural network-based decision framework for real-time-ball-on-plate balancing: Sim-to-real

Fan, Y., Zhao, C., & Zhang, L. (2026) · SIMULATION · doi:10.1177/00375497261448920

Development and control of a robotic lower limb exoskeleton for pediatric users

Cruz-Cortes, A., Ballesteros, M., & Ortiz, D. C. (2026) · Results in Engineering · doi:10.1016/j.rineng.2026.111992

Optimization-based PID tuning for nonlinear systems via multiple-shooting and collocation on finite elements

Tamimi, J. (2026) · Advances in Mechanical Engineering · doi:10.1177/16878132261458059

Model-Based Prior for Model-Free Reinforcement Learning in Process Control: An Offline Methodology for Semiconductor Manufacturing

Li, Y., Tsung, F., Jiang, W., Du, J., & Ye, Z. (2026) · Technometrics · doi:10.1080/00401706.2026.2689966

Smart PID generator for nonlinear systems: zero-shot reinforcement learning based on virtual environments

Sun, P., Huang, B.-H., & Chen, J. (2026) · ISA Transactions · doi:10.1016/j.isatra.2026.07.014

A PSO-BPNN-Based PI Parameter Tuning Strategy for the Inner Current Loop of a Vienna Rectifier with FPGA-Based Hardware-in-the-Loop Verification

Chen, J., Cheng, S., & Bai, Z. (2026) · Energies · doi:10.3390/en19153459

Online Adaptive Neural-PID Control for Performance Enhancement of DC Motor Speed Regulation

Salim, Z. S., Shary, D. K., & Almukhtar, H. D. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-981-92-1447-1_3

Learning-Based Longitudinal Vehicle-Following Control Using a CNN-LSTM-DNN Network

Zhou, D., Mai, Z., Zou, Y., Li, J., Cheng, Y., & Huang, C. (2026) · International Conference on Computer and Communication Systems (ICCCS) · doi:10.1109/icccs69761.2026.11613322

Physical PPG signal synthesis via reinforcement learning-based LED control

Zhou, F., Holsinger, A., Zhao, T., & Yao, Z. (2026) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2026.111128

Advanced control of quadrotors: sliding mode and disturbance rejection

Gritli, H., Gharbi, M. A., Narayan, J., Fekik, A., & Azar, A. T. (2026) · Elsevier eBooks · doi:10.1016/b978-0-443-33769-7.00010-7

Reinforcement-Learning-Based Online PID Gain Adaptation for Fault-Tolerant Quadrotor Control Under Rotor Loss-of-Effectiveness

Lahmar, O., Abdou, L., & Ghiloubi, I. B. (2026) · International Journal of Aeronautical and Space Sciences · doi:10.1007/s42405-026-01269-6

Advanced Control of Microalgae Photobioreactors: A Systematic Review of Automation Strategies

Almeida, M. A., Mendes, F. P., Lima, Y. B., Rodrigues, M. V., & de Oliveira, V. M. (2026) · IEEE Access · doi:10.1109/access.2026.3719411

Genetic Algorithm-Based Classical Controller Tuning for Enhanced Speed Response in Brushless DC Motor Drives

Ho, V. B., & Trinh, T. L. (2026) · Lecture notes in electrical engineering · doi:10.1007/978-3-032-13917-7_20

Dynamic modelling and control system development of a Brayton-based Carnot battery: Impact of thermal energy storage–induced delays

Pecchini, M., Stoppato, A., & Benato, A. (2026) · Journal of Energy Storage · doi:10.1016/j.est.2026.123983

Power constrained NCS design for SIMO plant models

Rojas, A. J., & Ramírez, H. (2026) · International Conference on Control, Decision and Information Technologies (CoDIT) · doi:10.1109/codit70676.2026.11631152

Robust fuzzy torque control of a UR5 collaborative robot under dynamic uncertainty

Parmar, M., Rathod, R. J., Patel, H. K., & Adhyaru, D. M. (2026) · International Journal of Dynamics and Control · doi:10.1007/s40435-026-02268-x

Low co-visibility feature matching method with adaptive motion positional encoding

Dai, W., Su, W., Song, J., Weng, X., & Kong, W. (2026) · Array · doi:10.1016/j.array.2026.101129

Model reference adaptive augmented robust control for heavy-lift launch vehicles under stochastic uncertainties

Xie, C., CHENG, Y., Yang, S., & Jianjun, W. (2026) · Acta Astronautica · doi:10.1016/j.actaastro.2026.08.029

Enhancing Electro-Hydraulic Control Precision: A Hybrid HSO and Anti-Windup Pid Strategy

Zhou, D., Weng, Z., Dong, J., Liu, Z., Chen, L., Tang, Y., Meng, Z., & Jin, B. (2026) · International Conference on Mechanical Engineering and Robotics Research (ICMERR) · doi:10.1109/icmerr70056.2026.11643193

Flow Control of Industrial Process Using P, PI and PID Controller

Basumatary, R., Chanda, D., & Hazarika, H. (2026) · IEEE Guwahati Subsection Conference (GCON) · doi:10.1109/gcon69192.2026.11649252

PID Control Perspective: Techniques and Uses

Al-Dayyeni, W. S., & Mahmood, H. S. (2025) · Edison journal for electrical and electronics engineering. · doi:10.62909/ejeee.2025.001 · Cited by 5

PID controllers: recent tuning methods and design to specification

Cominos, P., & Munro, N. (2002) · IEE Proceedings - Control Theory and Applications · doi:10.1049/ip-cta:20020103 · Cited by 523

PID controller tuning and Applications

Hussein, H. (2019) · doi:10.13140/rg.2.2.36735.66721

Digital control : past, present and future of PID control (PID '00) : a proceedings volume from the IFAC Workshop, Terrassa, Spain, 5-7 April 2000

Quevedo, J., & Escobet, T. (2000) · Published for the International Federation of Automatic Control by Pergamon eBooks · Cited by 33

Introduction to the special issue on PID control system design, automatic tuning and applications

Wang, L., & Visioli, A. (2023) · International Journal of Control · doi:10.1080/00207179.2024.2284449 · Cited by 6