A review of PID control, tuning methods and applications

Optimum Settings for Automatic Controllers

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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

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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

Performance Evaluation of a 2DOF_PID Controller Using Metaheuristic Optimization Algorithms

Enad, M. H., Hassan, R. F., Mahmoud, A. A. K., & Humaidi, A. J. (2024) · Journal Européen des Systèmes Automatisés · doi:10.18280/jesa.570308 · Cited by 3

Nussbaum Function Based PID Approach for Tracking Control of Robot Manipulators

Nohooji, H. R., & Voos, H. (2024) · Mediterranean Conference on Control and Automation (MED) · doi:10.1109/med61351.2024.10566270 · Cited by 3

An Enhanced 2D-PID Adaptive Strategy for Batch Processes through Set-point-Tuning Indirect Iterative Learning Control

Malaysia, U. T. H. O., Wang, Z., Sadun, A. S., Malaysia, U. T. H. O., Jalaludin, N. A., Malaysia, U. T. H. O., Hashim, H., Malaysia, U. T. H. O., Arifin, S. N. H., Malaysia, U. T. H. O., et al. (2024) · International Journal of Integrated Engineering · doi:10.30880/ijie.2024.16.05.023 · Cited by 3

Frequency data driven optimal design of different PI control structures for a multivariable process

Aguiar, A. P. V. D. A., Ramos, E. T. G., Júnior, G. A., & Barros, P. R. (2024) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2024.08.091 · Cited by 3

Surge Speed and Yaw Angle Control System Design on Unmanned Surface Vehicle (USV) Using PID-Fuzzy-Genetic Algorithm

Sahal, M., Gamayanti, N., & Cendikiarani, M. T. (2024) · International Seminar on Intelligent Technology and Its Applications · doi:10.1109/isitia63062.2024.10668318 · Cited by 3

Dynamic multi-objective optimization based on classification response of decision variables

Li, J., Liu, R., & Wang, R. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121611 · Cited by 3

Implementation of MPU6050 Module Based On ROS and PID Controller as Stabilization Control and Rotational Motion of SAR Robot

Hidayat, A. Y. F., Sendari, S., Mahandi, Y. D., Zaeni, I. A. E., Lestari, D., Widiyaningtyas, T., Mustika, S. N., Ridhoni, M. S., Firmansyah, R., & Purwanto, M. D. (2024) · International Conference on Electrical and Information Technology (IEIT) · doi:10.1109/ieit64341.2024.10763060 · Cited by 3

Chimera state in neural network with the Proportional–Integral–Derivative coupling

Abdoulaye, A. M., Meli, V. N., Kongni, S. J., Njougouo, T., & Louodop, P. (2024) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2024.115847 · Cited by 3

A Review of Research on Robot Automatic Control Technology

Wu, J. (2025) · Applied and Computational Engineering · doi:10.54254/2755-2721/2025.19484 · Cited by 3

Enhanced PID for pedal vehicle force control using hybrid spiral sine-cosine optimization and experimental validation

Hashim, A. A. A., Ghani, N. M. A., & Tokhi, M. O. (2025) · Journal of low frequency noise, vibration and active control · doi:10.1177/14613484251320723 · Cited by 3

Comparison of Parameter Estimation Techniques for Control Parameter Identification of Permanent Magnet Direct Current Motor Speed Control

Çorapsız, M. R. (2025) · Advanced Control for Applications · doi:10.1002/adc2.70005 · Cited by 3

Validation of Subway Indoor Air Quality (IAQ) Data Using Memory-Augmented Autoencoders with Learned Normal Prototypes

Ghorbani, V., Tariq, S., & Yoo, C. (2025) · Korean Journal of Chemical Engineering · doi:10.1007/s11814-025-00451-y · Cited by 3

Research on fuzzy proportional–integral–derivative (PID) control of bolt tightening torque based on particle swarm optimization (PSO)

Cheng, X., Guo, Z., & Ke, J. (2025) · Mechanical sciences · doi:10.5194/ms-16-209-2025 · Cited by 3

Modeling and control techniques for landing on (99942) Apophis: An analysis of a mission scenario

Megia, V. H., Ho, T., Grundmann, J. T., & Noeker, M. (2025) · Acta Astronautica · doi:10.1016/j.actaastro.2025.04.031 · Cited by 3

Gust Response Alleviation with Model-Free Adaptive Control Method in Transonic Flow

Zhao, Z., Gao, C., Ren, K., & Zhang, W. (2025) · Journal of Aerospace Engineering · doi:10.1061/jaeeez.aseng-5665 · Cited by 3

Intelligent PID Gain Selection via Supervised Machine Learning Approach for Decoupled MIMO Control Systems

Mumuni, Q. A., Olaniyan, O. M., Ipinnimo, O., Akinyemi, L. A., & Olayiwola-Mumuni, A. I. (2025) · Journal of Future Artificial Intelligence and Technologies · doi:10.62411/faith.3048-3719-92 · Cited by 3

Robotic Optical Coherence Tomography With Expanded Three-Dimensional Field-of-View Using Point-Cloud-Based Volumetric Montaging

Fang, R. S., Zhang, P., Zhang, T., Yan, Z., Kim, D., Sun, E., Kuranov, R. V., Kweon, J., Huang, A. S., & Zhang, H. F. (2025) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2025.3580383 · Cited by 8

Optimal Location for Electric Vehicle Fast Charging Station as a Dynamic Load for Frequency Control Using Particle Swarm Optimization Method

Alhazmi, Y. A., & Altarjami, I. A. (2025) · World Electric Vehicle Journal · doi:10.3390/wevj16070354 · Cited by 3

Positional PID Controller With Feedforward MPC-Based Incremental Signal for Phase-Shifted Full-Bridge Converters

Gao, M. Y., Song, D., Guo, Q., Wu, L., & Cong, L. (2025) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2025.3593426 · Cited by 3

Adaptability Study of Pressure Regulators in Hydrogen-Blended Natural Gas Pipelines

Xue, Y., Li, X., Liu, Y., Yuan, J., Hua, J., & Wu, Y. (2025) · ACS Omega · doi:10.1021/acsomega.5c07755 · Cited by 3

New Cascade Control Based on Type 2 Fuzzy Controllers Applied to a DC Motor

Rouabhi, R., Zemmit, A., Herizi, A., Djeriou, S., Alotaibi, S., Alzahrani, T. M., Khan, B., & Ghoneim, S. S. M. (2025) · IET Science Measurement & Technology · doi:10.1049/smt2.70029 · Cited by 3

Autonomous Landing of a Quadcopter on a Stationary Platform

Le, N.-H.-D., Duong, T.-H., Le, H.-P., Ta, T.-N.-M., & Le, M.-H. (2021) · International Conference on System Science and Engineering · doi:10.1109/icsse52999.2021.9538453 · Cited by 3

Variable Duty Cycle Control with PSO-PI Controller for Power Factor Correction and Fast Regulation

Babu, J. J., & Vinopraba, T. (2021) · Journal of The Institution of Engineers (India) Series B · doi:10.1007/s40031-021-00674-7 · Cited by 3

Data-Based Tuning of PI Controller for First-order System

Nasir, A. W., Kasireddy, I., Tiwari, R., Ahmed, B. K. I., & Furquan, A. (2022) · Lecture notes in electrical engineering · doi:10.1007/978-981-16-7011-4_52 · Cited by 3

Optimization of PID Controller

Benameur, S., Tadrist, S., Mellal, M. A., & Williams, E. J. (2022) · Advances in mechatronics and mechanical engineering (AMME) book series · doi:10.4018/978-1-6684-5887-7.ch001 · Cited by 3

Influencia de los hiper-parámetros en algoritmos basados en Evolución Diferencial para el ajuste de controladores del tipo PID en procesos SISO

Martínez-Luzuriaga, P. N., & Reynoso-Meza, G. (2022) · Revista Iberoamericana de Automática e Informática Industrial RIAI · doi:10.4995/riai.2022.16517 · Cited by 3

Design of UAV 3D Visual Simulation System Based on X-Plane

Zeng, G., Jia, H., Li, J., Pan, S., & Zheng, L. (2023) · Lecture notes in electrical engineering · doi:10.1007/978-981-99-0479-2_108 · Cited by 3

PSO Algorithm for Three Phase Induction Motor with V/F Speed Control

Mirdas, Q. H., Yasin, N. M., & Al-Shamaa, N. K. (2022) · International Conference on Advanced Science and Engineering (ICOASE) · doi:10.1109/icoase56293.2022.10075610 · Cited by 3

Automated control loop selection via multistage optimal control formulation and nonlinear programming

Mappas, V. K., Vassiliadis, V. S., Dorneanu, B., Routh, A. F., & Arellano‐García, H. (2023) · Process Safety and Environmental Protection · doi:10.1016/j.cherd.2023.05.041 · Cited by 3

Modelling and Simulation of a Redundant Agricultural Manipulator with Virtual Prototyping

Reddy, A. S., Chembuly, V. V. M. J. S., & Rao, V. V. S. K. (2023) · Journal of Robotics and Control (JRC) · doi:10.18196/jrc.v4i1.17121 · Cited by 3

Tuning of PID controllers for unstable first-order plus dead time systems

Bi, J., Tan, W., & Yu, M. (2023) · Chemical Product and Process Modeling · doi:10.1515/cppm-2023-0027 · Cited by 3

An effective ANN-based hybrid fiber diameter control approach with gated recurrent units and selective weight optimization

Cao, Y., Zhang, J., Qian, Y., Wang, Y., & Lang, Y. (2023) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.121241 · Cited by 3

Attitude Control and Parameter Optimization: A Study on Hubble Space Telescope

Sayin, E., Bitirgen, R., & Bayezit, İ. (2023) · Measurement Science Review · doi:10.2478/msr-2023-0019 · Cited by 3

Autonomous open-source electric wheelchair platform with internet-of-things and proportional-integral-derivative control

Maneetham, D., Crisnapati, P. N., & Thwe, Y. (2023) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v13i6.pp6764-6777 · Cited by 3

Establishment of Real-Time Adaptive Control Strategy for Milling Parameters

Tai, C.-H., Tsai, Y.-T., & Li, K. (2023) · IEEE Access · doi:10.1109/access.2023.3330587 · Cited by 3

Controlling temperature using proportional integral and derivative control algorithm for hybrid forced convection solar dryer

Arifin, M. A., Pangaribuan, P., Pramudita, B. A., & Megantoro, P. (2023) · International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering · doi:10.11591/ijece.v14i1.pp239-247 · Cited by 3

A data fusion control-based broad-band and high-dynamic excitation generation method for calibrating the low-frequency linear vibration sensors

Huang, H., Liu, Z., Cai, C., Yang, M. B., & Wang, D. (2023) · Measurement · doi:10.1016/j.measurement.2023.113850 · Cited by 3

PID-Inspired Continuous-Time Distributed Optimization

Tao, M., Yue, D., & Cao, J. (2023) · Annual Conference of the IEEE Industrial Electronics Society (IECON) · doi:10.1109/iecon51785.2023.10312121 · Cited by 3

Research on system of ultra-flat carrying robot based on improved PSO algorithm

Zhu, J., Wu, J., Chen, Z., Cao, L., Yang, M., & Wu, X. D. (2023) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2023.1294606 · Cited by 3

Distributed Control of an Ill-Conditioned Non-Linear Process Using Control Relevant Excitation Signals

Sha’aban, Y. A. (2023) · Processes · doi:10.3390/pr11123320 · Cited by 3

Non-parametric fractional-order controller design for stable process based on modified relay

Gnaneshwar, K., Kumar, V., Sharma, S., & Padhy, P. K. (2024) · Journal of Control and Decision · doi:10.1080/23307706.2024.2312520 · Cited by 3

ChatGPT-powered Inquiry-based Learning Model of Training for Intelligent Car Racing Competition

Chen, Q., Chen, H.-C., & Lin, Y.-L. (2024) · Sensors and Materials · doi:10.18494/sam4726 · Cited by 3

Research on portable force-controlled machining device of CFRP and the method of thrust force controlling

Su, F., Zeng, Z., Chen, K., & Che, Y. (2024) · Journal of Manufacturing Processes · doi:10.1016/j.jmapro.2024.09.072 · Cited by 3

Measurement Performance Improvement Method for Optically Pumped Magnetometer Based on Multilayer Perceptron

Tang, W., Huang, G., Li, G., Yang, G., & Geng, X. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3476032 · Cited by 3

Advanced Study: Improving the Quality of Cooling Water Towers’ Conductivity Using a Fuzzy PID Control Model

Chen, Y., Hung, Y.-H., Lee, M. Y.-J., Chang, J.-R., Lin, C.-K., & Wang, T.-W. (2024) · Mathematics · doi:10.3390/math12203296 · Cited by 3

Reference Power Tracking for AC Charging of Electric Vehicles

Ferretti, F., Paola, A. D., Scholz, H., Tarantola, S., & Kotsakis, E. (2024) · IEEE Access · doi:10.1109/access.2024.3501474 · Cited by 3

Research on Operation Trajectory Tracking Control of Loader Working Mechanisms

Liang, G., Jiang, Y. D., Gao, Z., Bai, G., Li, H., Zhao, X., Wang, K., & Wang, Z. (2025) · Machines · doi:10.3390/machines13020165 · Cited by 3

Intelligent Model for Automating PID Controller Tuning for Industrial Water Level Control System

Parvathy Thampi, M. S., & Raghavendra, G. (2021) · International Conference on Design Innovations for 3Cs Compute Communicate Control (ICDI3C) · doi:10.1109/icdi3c53598.2021.00039 · Cited by 3

Reinforcement Learning for Underwater Navigation Subject to Infrequent Position Measurements

Cheng, K., Lu, W., Xiong, H., & Liu, H. (2021) · China Automation Congress (CAC) · doi:10.1109/cac53003.2021.9727505 · Cited by 3

Automated Tuning of Closed-loop Neuromodulation Control Systems using Bayesian Optimization

Sarikhani, P., Hsu, H.-L., & Mahmoudi, B. (2022) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc48229.2022.9871006 · Cited by 3

Coherent optical neuron control based on reinforcement learning

Zhang, J., Yan, Q., Liu, H., Tang, Y., Zhou, T., & Jiang, T. (2023) · Optics Letters · doi:10.1364/ol.484435 · Cited by 3

A Hybrid Control Strategy based on Neural Network and PID for Underwater Robot Hovering

Wu, Y., Wei, Y., An, D. U., & Liu, J. (2023) · International Conference on Computer Supported Cooperative Work in Design (CSCWD) · doi:10.1109/cscwd57460.2023.10152857 · Cited by 3

Integrated Modelling and Control of Linear Actuator Based Automatic Pedal Pressing Mechanism for Low-Speed Driving in a Road Traffic Delay

Hashim, A. A. A., Ahmad, S., Ghani, N. M. A., & Nasir, A. N. K. (2023) · International Journal of Robotics and Control Systems · doi:10.31763/ijrcs.v3i3.1058 · Cited by 3

ATTITUDE CONTROL OF THE NANOSATELLITE USING A HYBRID FUZZY ALGORITHM BY MEANS OF THE REACTION WHEELS

Melnic, V. (2023) · Journal of Engineering Science · doi:10.52326/jes.utm.2023.30(2).09 · Cited by 2

Modelling Approaches and Control in Autonomous Driving and Advanced Driver Assistance Systems

Wassouf, Y., Tarasenko, A. V., & Serebrenny, V. (2024) · International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE) · doi:10.1109/reepe60449.2024.10479782 · Cited by 2

Research on Quadrotor UAV control and path planning based on PID controller and Dijkstra algorithm

Xushi, W. (2024) · AIP conference proceedings · doi:10.1063/5.0214314 · Cited by 2

Multipoint temperature model predictive control with improved MOEA/D

Li, M., Liu, R., Wu, P., & Wang, J. (2024) · Transactions of the Institute of Measurement and Control · doi:10.1177/01423312241260107 · Cited by 2

Research on SMA motor modelling and control algorithm for optical image stabilization

Chen, L., Qu, Y., Song, Z., Liu, X., & Liu, W. (2024) · Microsystem Technologies · doi:10.1007/s00542-024-05768-y · Cited by 2

On the Feasibility of a RGA-Based Decoupling Control in the Reactor-Follow-Turbine Operation of a PWR

Zarei, M. (2024) · Nuclear Science and Engineering · doi:10.1080/00295639.2024.2397622 · Cited by 2

Toward Optimal Design of a Factory Air Conditioning System Based on Energy Consumption Prediction

Zhu, S., Lv, S., Wang, W., & Cui, M. (2024) · Processes · doi:10.3390/pr12122615 · Cited by 2

A frugal open-source platform for integrated data acquisition, environment emulation, and assessment for energy system characterization

Datta, A., Mukhopadhyay, A., Sardar, K., Tudu, B., & Ganguly, R. (2025) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2025.104314 · Cited by 2

A Compact High-Precision Cascade PID-Control Laser Driver for Airborne Coherent LiDAR Applications

Ming, Z., Li, X., Wang, Y., Qu, Y., Lu, Z., Jia, H., Yuan, H., Zhang, Q., Zhang, J., & Song, Y. (2025) · Sensors · doi:10.3390/s25092851 · Cited by 2

Self-tuning trajectory tracking control for concrete pouring construction robots based on PID-NFTSMC and CPO algorithm

Fan, S., Li, W., & Xie, R. (2025) · PLoS ONE · doi:10.1371/journal.pone.0324550 · Cited by 2

Fishing Vessel Trawl Winch Tension Control: A BP Neural Network PID Feedforward Control Method Based on NARX Neural Network Prediction

Liu, Q., Wang, Y., & Xu, M. (2025) · Processes · doi:10.3390/pr13072001 · Cited by 2

Variable impedance models including fuzzy fractional order for control of human–robot interaction: a systematic review

Noorani, M.-R. S., Abud, E. H., Sahmani, S., & Safaei, B. (2025) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-025-16101-w · Cited by 2

Metamorphic testing for optimisation: A case study on PID controller tuning

Duque‐Torres, A., Klammer, C., Fischer, S., Ramler, R., & Pfahl, D. (2025) · Information and Software Technology · doi:10.1016/j.infsof.2025.107872 · Cited by 2

Design of optimal model-free PI controllers using metaheuristic algorithms for a distillation column

Pazoki, D., Sarbandi, M., Reza, K., Rousta, M. M., Nikoofard, A., & Khaki-Sedigh, A. (2025) · International Journal of Dynamics and Control · doi:10.1007/s40435-025-01822-3 · Cited by 2

Deadbeat Speed Control for Photon-Driven PMDC Motor System

Lin, D., Deng, F., Hua, W., Cheng, M., & Chen, Z. (2025) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2025.3598157 · Cited by 2

Active Control Method for Pantograph-Catenary System Based on Neural Network PID Under Crosswind Conditions

Wang, M., Xu, Y., Pan, L., Liu, Z., & Zhou, Z. (2025) · Machines · doi:10.3390/machines13100897 · Cited by 2

Reinforcement learning–driven proportional–integral–derivative controller tuning for mass–spring systems: Stability, performance, and hyperparameter analysis

Demircioğlu, U., & Bakır, H. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.112692 · Cited by 2

Design and Implementation of a Verilog Based PID Controller for DC Motor Speed Control

Pandey, K., Mahadeva, R., & Goyal, A. K. (2025) · Artificial Intelligence and Smart Technologies for Sustainability Conference (AISTS) · doi:10.1109/aists66100.2025.11232594 · Cited by 2

Overcoming finite-time convergence of electric dynamic load simulator using modified super-twisting terminal sliding mode control

Aich, P., Saha, S., Ahmed, A., & Shah, R. (2025) · Energy Reports · doi:10.1016/j.egyr.2025.12.010 · Cited by 2

Sensorless Adaptive PI Control of High-Power Propulsion PMSM Based on Sliding-Mode Extremum Seeking Algorithm With Variation Parameters

Teymoori, V., Ghalebani, P., Mj, K., Wang, R.-J., & Arish, N. (2025) · IEEE Transactions on Industry Applications · doi:10.1109/tia.2025.3622551 · Cited by 2

Advanced control of continuous pharmaceutical manufacturing processes: A case study on the application of artificial neural network for predictive control of a CDC line

Zhao, J., Tian, G., Yang, W., Das, J., Koolivand, A., & Xu, X. (2026) · Computers & Chemical Engineering · doi:10.1016/j.compchemeng.2026.109560 · Cited by 2

Control theory in the era of intelligent systems: Applications, trends, and future directions

Trigka, M., & Dritsas, E. (2026) · Annual Reviews in Control · doi:10.1016/j.arcontrol.2026.101049 · Cited by 2

Selection and application of control principles in beer brewing processes based on MCDA framework

Yusupov, M., Turakulov, Z., & Yusupbekov, A. N. (2026) · Revista Brasileira de Engenharia de Biossistemas · doi:10.18011/bioeng.2025.v19.1295 · Cited by 2

High-speed intracellular magnetic tweezers with digital PID controller

Miyamoto, A. W. M., Orii, R., Tanimoto, H., & Murayama, Y. (2026) · Applied Physics Letters · doi:10.1063/5.0306107 · Cited by 2

Current progress of active compliance control strategies and applications in lower limb exoskeleton rehabilitation robots: a narrative review

Li, S., Yang, Y., Cheng, S., Zhang, L., & Yu, H. (2026) · Expert Review of Medical Devices · doi:10.1080/17434440.2026.2640198 · Cited by 2

Review of automatic row alignment technology for intelligent agricultural machinery in the field

Cui, S., Kong, F., Tian, K., Xie, Q., Liu, Y., Zhang, B., & Mu, Z. (2026) · Smart Agricultural Technology · doi:10.1016/j.atech.2026.102059 · Cited by 2

Data-driven surrogate modeling and automatic PID tuning of hydropower governors for low-inertia power systems

Song, J., & Wang, Y. (2026) · Energy Reports · doi:10.1016/j.egyr.2026.109235 · Cited by 2

A Biomimetic Gazelle Optimization Approach for Enhanced Temperature Regulation in Electric Furnaces

İzci, D., Ozcayci, A., Ekinci, S., Ökten, İ., Akin, E., Yüksek, G., Akdağlı, A., Yildiz, A., & Karaömerlioğlu, F. (2026) · Biomimetics · doi:10.3390/biomimetics11040255 · Cited by 2

Performance Comparison of Intelligent Energy Management Strategies for Hybrid Electric Vehicles with Photovoltaic Fuel Cell and Battery Integration

Albadrani, M. A., Sayed, R. A., Allam, S., Hegazy, H. Y., Morsalin, M., Abdelati, M. H., & Fattah, S. A. (2026) · Batteries · doi:10.3390/batteries12040147 · Cited by 2

Adaptive PID control for time-varying fermentation processes

Wang, Z., Chen, C., Chen, X., Li, D., & Feihu, Z. (2021) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls52934.2021.9455651 · Cited by 2

Cruise Control for Autonomous Vehicles Based on Interval Type-2 Fuzzy Logic

Meng, Y., Mo, H., Zhao, X., & Le, F. (2021) · IEEE International Conference on Digital Twins and Parallel Intelligence (DTPI) · doi:10.1109/dtpi52967.2021.9540137 · Cited by 2

A simulation approach for closed-loop control of coupled four tank system

Ullah, N., & Mohammad, A. (2021) · Advances in Complex Systems · doi:10.1142/s1793962322500295 · Cited by 2

Bayesian Optimization for Efficient Tuning of Visual Servo and Computed Torque Controllers in a Reinforcement Learning Scenario

Ribeiro, E. G., Mendes, R. D. Q., Terra, M. H., & Grassi, V. (2021) · International Conference on Advanced Robotics (ICAR) · doi:10.1109/icar53236.2021.9659363 · Cited by 2

Modelling and simulation of a fuel cell unit connected via power electronic interface

Behzadi, F., Zadeh, M. M., Freidunian, A., & Bathaee, S. M. T. (2022) · International Electrical Power Distribution Conference (EPDC) · doi:10.1109/epdc56235.2022.9817364 · Cited by 2

A Mobile Robot with the Functions of Visual Navigation and Digital Identification

Chen, Z., Zhang, K., Huang, Y., & Gao, X. (2022) · IEEE International Conference on Mechatronics and Automation (ICMA) · doi:10.1109/icma54519.2022.9856306 · Cited by 2

Research on Dynamic Control Method of Loom Spindle Braking System Based on Fuzzy Neural Network

Xiao, Y., Wang, X., Zhao, Y., & Liu, W. (2022) · IEEE Access · doi:10.1109/access.2022.3219211 · Cited by 2

A FPGA-based real-time particle swarm optimization for temperature control of semiconductor laser

Jian, Y., & Deng, H. (2023) · International Conference on Optoelectronic Materials and Devices (ICOMD) · doi:10.1117/12.2674043 · Cited by 2

Unmanned Bicycle Balance Control Based on Tunicate Swarm Algorithm Optimized BP Neural Network PID

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