Finite-time control of discrete-time semi-Markov jump linear systems: A self-triggered MPC approach

Exact stochastic simulation of coupled chemical reactions

Gillespie, D. T. (1977) · The Journal of Physical Chemistry · doi:10.1021/j100540a008 · Cited by 10,136

A riccati equation approach to the stabilization of uncertain linear systems

Petersen, I. R., & Hollot, C. V. (1986) · Automatica · doi:10.1016/0005-1098(86)90045-2 · Cited by 868

Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations

Shen, H., Li, F., Xu, S., & Sreeram, V. (2017) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2017.2774006 · Cited by 480

Security-Based Fuzzy Control for Nonlinear Networked Control Systems With DoS Attacks via a Resilient Event-Triggered Scheme

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Stability and Stabilization of Discrete-Time Semi-Markov Jump Linear Systems via Semi-Markov Kernel Approach

Zhang, L., Leng, Y., & Colaneri, P. (2015) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2015.2438424 · Cited by 370

Stochastic stability and robust stabilization of semi‐Markov jump linear systems

Huang, J. D., & Shi, Y. (2012) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.2862 · Cited by 366

Stability analysis of semi-Markov switched stochastic systems

Wang, B., & Zhu, Q. (2018) · Automatica · doi:10.1016/j.automatica.2018.04.016 · Cited by 279

Finite‐timeH ∞ control for discrete‐time switched nonlinear systems with time delay

Zong, G., Wang, R., Zheng, W. X., & Hou, L. (2013) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3121 · Cited by 246

A Novel Mixed Control Approach for Fuzzy Systems via Membership Functions Online Learning Policy

Pan, Y., Li, Q., Liang, H., & Lam, H. (2021) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2021.3130201 · Cited by 215

Finite-Time L 2 -Gain Asynchronous Control for Continuous-Time Positive Hidden Markov Jump Systems via T–S Fuzzy Model Approach

Ren, C., He, S., Luan, X., Liu, F., & Karimi, H. R. (2020) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2020.2996743 · Cited by 191

Finite-Time Adaptive Fuzzy Backstepping Control for Quadrotor UAV With Stochastic Disturbance

Yu, D., Ma, S., Liu, Y., Wang, Z., & Chen, C. L. P. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3282661 · Cited by 162

Dynamic-Memory Event-Triggered Sliding-Mode Secure Control for Nonlinear Semi-Markov Jump Systems With Stochastic Cyber Attacks

Tan, Y., Liu, J., Xie, X., Tian, E., & Liu, J. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3349150 · Cited by 110

Self-triggered finite-time control for discrete-time Markov jump systems

Wan, H., Luan, X., Stojanović, V., & Liu, F. (2023) · Information Sciences · doi:10.1016/j.ins.2023.03.070 · Cited by 104

Safe Reinforcement Learning and Adaptive Optimal Control With Applications to Obstacle Avoidance Problem

Wang, K., Mu, C., Ni, Z., & Liu, D. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3299275 · Cited by 89

Adversarial dynamic games for Markov jump systems: A policy iteration Q-learning method

Shen, H., Wu, J., Wang, J., & Wu, Z. (2025) · Automatica · doi:10.1016/j.automatica.2025.112591 · Cited by 79

Neural network-based adaptive critic control for saturated nonlinear systems with full state constraints via a novel event-triggered mechanism

Zhao, H., Wang, H., Chang, X., Ahmad, A. M., & Zhao, X. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120756 · Cited by 67

Prescribed-Time Extended State Observer-Based Bipartite Formation Control of Vehicle Multi-Agent Systems

Yang, Y., Yang, T., Zhou, S., Sun, W. L., & Wu, D. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3376081 · Cited by 62

Event-Triggered Synchronization for Delayed Quaternion-Valued Inertial Fuzzy Neural Networks via Nonreduced Order Approach

Zhang, Z., Wang, S., Wang, X., Wang, Z., & Lin, C. (2023) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2023.3241151 · Cited by 59

High-order fully actuated system approaches: Model predictive control with applications to under-actuated systems

Wang, X., & Duan, G. (2023) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2023.05.009 · Cited by 55

Three-dimensional event-triggered fixed-time cooperative guidance law against maneuvering target with the constraint of relative impact angles

Chen, Z., Liu, X., & Chen, W. (2023) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2023.02.027 · Cited by 49

Input attribute optimization for thermal deformation of machine-tool spindles using artificial intelligence

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A direct yaw moment control frame through model predictive control considering vehicle trajectory tracking performance and handling stability for autonomous driving

Jin, L., He-ping, Z., Xie, X., Guo, B., & Ma, X. (2024) · Control Engineering Practice · doi:10.1016/j.conengprac.2024.105947 · Cited by 45

Event-Triggered FCS-MPC With Sliding Mode Observer for Permanent Magnet Synchronous Motor Servo Motion Systems

Wei, S., Shao, L., Liu, D., Wang, J., & Ge, C. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3377639 · Cited by 43

Security Fuzzy Control of Nonlinear Semi-Markov Switching Systems With Event-Based Mechanism and Hybrid Cyber-Attacks

Hu, M., Park, J. H., Cheng, J. S., & Xie, L. (2023) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmc.2023.3277554 · Cited by 42

Resilient Coordinated Data-Driven Control of Multiple High-Speed Trains Under Fading Measurements and Denial-of-Service Attacks

Yu, W. Q., Huang, D., & Qin, N. (2023) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2022.3231712 · Cited by 39

Reconstruction error based implicit regularization method and its engineering application to lung cancer diagnosis

Zheng, Q., Tian, X., Yang, M., Han, S., Elhanashi, A., Saponara, S., & Kpalma, K. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.109439 · Cited by 41

Control of quadrotor UAV using variable disturbance observer-based strategy

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Distributed least-distance formation control for Euler–Lagrange systems: A game-based approach

Shi, J. W., Ye, M., Ding, L., & Xu, S. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105743 · Cited by 34

Learning Observer Based Fault Estimation for a Class of Unmanned Marine Vehicles: The Switched System Approach

Zhu, Y., Zhang, J., Chen, L., Chen, X., & Su, C. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3314757 · Cited by 33

Computation-efficient distributed MPC for dynamic coupling of virtually coupled train set

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A look-up table-based model predictive torque control of IPMSM drives with duty cycle optimization

Hassan, M., Ge, X., Woldegiorgis, A. T., Mastoi, M. S., Shahid, M. B., Atif, R., Shaikh, M. S., & Kumar, S. (2023) · ISA Transactions · doi:10.1016/j.isatra.2023.02.007 · Cited by 31

Trajectory tracking control for a cable-driven space manipulator using time-delay estimation and nonsingular terminal sliding mode

Meng, D., Xu, H., Xu, H., Sun, H., & Liang, B. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105649 · Cited by 30

Rooted Mahalanobis distance based Gustafson-Kessel fuzzy C-means

Chen, Q., Yu, W., Zhao, X., Nie, F., & Li, X. (2023) · Information Sciences · doi:10.1016/j.ins.2023.03.103 · Cited by 29

Robust preview control of uncertain discrete-time T-S fuzzy Markovian jump systems subject to time-varying delays via sliding mode approach

Sun, Q., Ren, J., & Fu, J. (2023) · Information Sciences · doi:10.1016/j.ins.2023.118980 · Cited by 29

Dynamic Route Planning for a USV-UAV Multi-Robot System in the Rendezvous Task with Obstacles

Li, Y., Li, S., Zhang, Y., Zhang, W., & Lu, H. (2023) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-023-01830-5 · Cited by 27

Event-Triggered Fixed-Time Adaptive Fuzzy Control for Nontriangular Nonlinear Systems With Unknown Control Directions

Cui, G., Xu, H., Yu, J., Ma, Q., & Jian, M. (2023) · IEEE Transactions on Artificial Intelligence · doi:10.1109/tai.2023.3318895 · Cited by 24

Nonzero-sum games using actor-critic neural networks: A dynamic event-triggered adaptive dynamic programming

Shen, H., Li, Z., Wang, J., & Cao, J. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120236 · Cited by 24

An Adaptive Generalized Super-Twisting Algorithm via Event-Triggered Control

Dou, W., Ding, S., Park, J. H., & Mei, K. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3351122 · Cited by 23

Dynamic Event-Triggered Model Predictive Control Under Channel Fading and Denial-of-Service Attacks

Shi, T., Shi, P. J., & Chambers, J. A. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3325534 · Cited by 22

Model predictive tracking control with disturbance compensation for wheeled mobile robots in an environment with obstacles

Li, P., Yang, H., & Wang, S. (2023) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2023.05.004 · Cited by 22

Adaptive finite-time prescribed performance tracking control for hydraulic servo systems with friction compensation

Wan, Y., Yue, W., Gao, X., Chen, Q., & Xu, R. (2023) · Neurocomputing · doi:10.1016/j.neucom.2023.126967 · Cited by 22

Integral reinforcement learning-based dynamic event-triggered safety control for multiplayer Stackelberg–Nash games with time-varying state constraints

Qin, C., Zhu, T., Jiang, K., & Wu, Y. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108317 · Cited by 21

A Distributed Model Predictive Control Strategy for Constrained Multi-Agent Systems: The Uncertain Target Capturing Scenario

Fedele, G., & Franzè, G. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3237770 · Cited by 21

Performance evaluation of isolated three-phase voltage source inverter with LC filter adopting different MPC methods under various types of load

Liu, E., Han, Y., Zalhaf, A. S., Yang, P., & Wang, C. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105520 · Cited by 21

Grasping detection of dual manipulators based on Markov decision process with neural network

Yun, J., Jiang, D., Huang, L., Tao, B., Liao, S., Liu, Y., Liu, X., Li, G., Chen, D., & Chen, B. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.09.016 · Cited by 21

Adaptive fuzzy finite-time PID backstepping control for chaotic systems with full states constraints and unmodeled dynamics

Zhang, X., Yang, X., Huang, C., Cao, J., & Liu, H. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120148 · Cited by 21

Prescribed performance control of nonlinear multi-agent systems under switching topologies

Peng, J., Li, J., Wang, K., Xiao, S., & Li, C. (2023) · Systems & Control Letters · doi:10.1016/j.sysconle.2023.105609 · Cited by 20

A noise-resistant graph neural network by semi-supervised contrastive learning

Lu, Z., Ma, J., Wu, Z., Zhou, B., & Zhu, X. (2023) · Information Sciences · doi:10.1016/j.ins.2023.120001 · Cited by 20

Adaptive non-singular fixed-time sliding mode control of moving-base underwater flexible manipulators

Huang, H. X., Tang, G., Chen, H., Wang, J., Han, L., & Xie, D. Y. (2024) · Nonlinear Dynamics · doi:10.1007/s11071-023-09252-6 · Cited by 20

Adaptive fractional-order nonsingular terminal sliding mode control and sequential quadratic programming torque distribution for lateral stability of FWID-EVs with actuator constraints

Hua, X., Wong, P. K., Zhao, J. B., & Xie, Z. (2024) · ISA Transactions · doi:10.1016/j.isatra.2024.05.022 · Cited by 21

A novel parallel multi-harmonic global multi-channel control algorithm for helicopter active vibration control

Yang, J., Deng, J., Zhao, J., Jiao, S., & Long, X. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105772 · Cited by 19

Adaptive prescribed settling time periodic event-triggered control for uncertain robotic manipulators with state constraints

Chen, Z., Zhang, H., Liu, J., Wang, Q., & Wang, J. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.06.032 · Cited by 18

Formation control for linear multi-agent systems with asynchronously sampled outputs

He, Q., & Liu, W. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119992 · Cited by 18

Deep reinforcement learning-based adaptive fuzzy control for electro-hydraulic servo system

Khater, A. A., Fekry, M., El-Bardini, M., & El-Nagar, A. M. (2025) · Neural Computing and Applications · doi:10.1007/s00521-024-10741-x · Cited by 17

Dynamic hybrid observer-based early slipping fault detection for high-speed train wheelsets

Yin, S., Peng, T., Yang, C., Yang, C., Chen, Z., & Gui, W. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105736 · Cited by 17

Guided probabilistic reinforcement learning for sampling-efficient maintenance scheduling of multi-component system

Zhang, Y., Zhang, D., Zhang, X., Qiu, L., Chan, F. T. S., Wang, Z., & Zhang, S. (2023) · Applied Mathematical Modelling · doi:10.1016/j.apm.2023.03.025 · Cited by 16

Fixed-time stabilization of fuzzy neutral-type inertial neural networks with proportional delays

Jia, S., & Zhou, L. (2023) · ISA Transactions · doi:10.1016/j.isatra.2023.10.032 · Cited by 16

A correlation among industry 4.0, additive manufacturing, and topology optimization: a state-of-the-art review

Ishfaq, K., Khan, M. D. A., Khan, M. A. A., Mahmood, M. A., & Asad, M. (2023) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-023-12515-6 · Cited by 16

Headway compression oriented trajectory optimization for virtual coupling of heavy-haul trains

Zhang, K., Gao, J., Xu, Z., Yang, H., Jiang, M. Y., & Liu, R. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105784 · Cited by 16

An adaptive hybrid surrogate model for FEA of telescopic boom of rock drilling jumbo

Lv, Y., Lin, L., Guo, H., Tong, C., Liu, Y., Zhang, S., & Suo, S. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.107710 · Cited by 17

Fast finite-time observer-based sliding mode controller design for a class of uncertain nonlinear systems with input saturation

Neisarian, S., Arefi, M. M., Abooee, A., & Yin, S. (2023) · Information Sciences · doi:10.1016/j.ins.2023.02.051 · Cited by 14

Robust Control: From Continuous-State Systems to Finite State Machines

Yan, Y., Xu, P., Yue, J., & Chen, Z. (2024) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3362975 · Cited by 14

Prescribed-Time Attitude Control for Hypersonic Morphing Vehicles Using Morphing Information-Driven Events

Zhang, H., Bao, C., Ma, W., Wang, P., Tang, G., & Bao, W. (2024) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.2024.3506512 · Cited by 13

Adaptive fuzzy fixed-time dynamic surface control for stochastic nonstrict nonlinear systems with unknown dead-zones

Wang, Y., Tao, F., Fu, Z., Wang, N., & Chen, Q. (2023) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2023.02.016 · Cited by 13

A flocking control algorithm of multi-agent systems based on cohesion of the potential function

Li, C., Yang, Y., Jiang, G., & Chen, X. (2023) · Complex & Intelligent Systems · doi:10.1007/s40747-023-01282-2 · Cited by 13

Asynchronous finite-time H∞ filtering for linear neutral semi-Markovian jumping systems under hybrid cyber attacks

Cheng, G., & Liu, H. (2022) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2022.12.025 · Cited by 13

Assist-as-needed control with a soft robotic glove based on human-object contact estimation

Sun, C., Wang, X., Teng, L., Zhang, Z., & Tang, C. Y. (2023) · Complex & Intelligent Systems · doi:10.1007/s40747-023-01246-6 · Cited by 13

Predictor-based model predictive control for maglev planar motor with a 2D Halbach array mover

Xu, Z., Wang, Y., Wang, J., & Khamesee, M. B. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105731 · Cited by 12

Deep Learning Aided State Estimation for Guarded Semi-Markov Switching Systems With Soft Constraints

Fu, Q., Lu, K., & Sun, C. (2023) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2023.3274937 · Cited by 13

Self-Pumping Actuation Module and its Application in Untethered Soft Robots

Yang, Y., Xie, Y., Liu, J., Jiang, P., & Chen, Y. (2023) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-023-01892-5 · Cited by 11

Intermediate observer based integrated fault estimation and fault-tolerant control for switched fuzzy stochastic systems

Han, J., Wang, J., Liu, X., & Wei, X. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119558 · Cited by 11

Distributed impedance control of coordinated dissimilar upper-limb exoskeleton arms

Tahamipour-Z., S. M., & Mattila, J. (2023) · Control Engineering Practice · doi:10.1016/j.conengprac.2023.105753 · Cited by 11

Integrated learning self-triggered control for model-free continuous-time systems with convergence guarantees

Wan, H., Karimi, H. R., Luan, X., He, S., & Liu, F. (2023) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2023.106462 · Cited by 10

Stabilization of Continuous-Time Probabilistic Logical Networks Under Sampling Dwell Time Constraints

Lin, L., Lam, J., Meng, M., Xie, X., Li, P., Zhang, D., & Shi, P. J. (2024) · SIAM Journal on Control and Optimization · doi:10.1137/23m1566388 · Cited by 10

Interpolated Bumpless Transfer Control for Asynchronously Switched Linear Systems

Lu, S., Wu, T., Zhang, L., Yang, J., & Liang, Y. (2024) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2023.124155 · Cited by 10

A Crashworthiness Design Framework based on Temporal-Spatial Feature Extraction and Multi-Target Sequential Modeling

Wei, H., Wang, H., Wen, Z., Peng, Y. L., Wang, H., & Sun, F. (2024) · Thin-Walled Structures · doi:10.1016/j.tws.2024.112694 · Cited by 10

A decision-making framework for optimal maintenance management: An integrated simulation-mathematical programming-expert system approach

Tanhaeean, M., Ghaderi, S. F., & Sheikhalishahi, M. (2023) · Computers & Industrial Engineering · doi:10.1016/j.cie.2023.109671 · Cited by 10

Robust supervisory control for automated manufacturing systems with unreliable resources by analyzing reachable state space

Feng, Y., Ren, S., Li, X., Cao, Y., & Yang, Y. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120258 · Cited by 9

Aggressive flight control of quadrotors using incremental nonlinear dynamic inversion with a high-fidelity thrust unit model

Wu, Z., Ye, J., Song, T., Jiang, T., & Su, X. (2024) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2024.106914 · Cited by 9

Fixed-time adaptive tracking control of two moving targets for a class of non-linear multi-agent systems

Sharghi, A., Karimi, B., & Dehghan, S. M. M. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119503 · Cited by 10

An ensemble-adaptive tree-based chain framework for multi-target regression problems

Wei, H., Wang, X., Wen, Z., Li, E., & Wang, H. (2023) · Information Sciences · doi:10.1016/j.ins.2023.119769 · Cited by 9

Measuring Color Index of Transformer Oil–Enabling Single-Wavelength Spectroscopy With Artificial Neural Network-Fuzzy Logic Model

Hadi, M. H. H., Ker, P. J., Lee, H. J., Leong, Y. S., Thiviyanathan, V. A., Hannan, M. A., Jamaludin, M. Z., & Mahdi, M. A. (2023) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2023.3238645 · Cited by 9

Homothetic Tube Model Predictive Control With Multi-Step Predictors

Saccani, D., Giancarlo Ferrari-trecate, A., Zeilinger, M. N., & Köhler, J. (2023) · IEEE Control Systems Letters · doi:10.1109/lcsys.2023.3336261 · Cited by 8

Active Security Control for Networked Jumping Systems Under Asynchronous Dual-Channel DoS Attacks: An HMM-Based Approach

Peng, C., Ye, H., Wu, D., & Zhang, W. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3565758 · Cited by 8

Finite-time peak-to-peak analysis for switched generalized neural networks comprised of finite-time unstable subnetworks

Sang, H., Zhao, Y., Wang, P., Wang, Y., Yu, S., & Dimirovski, G. M. (2023) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2023.113555 · Cited by 8

Improved filtering of interval type-2 fuzzy systems over Gilbert-Elliott channels

Zhang, Q., Wang, Y., Cheng, J. S., Yan, H., & Shi, K. (2023) · Information Sciences · doi:10.1016/j.ins.2023.01.053 · Cited by 8

Tracking control based on adaptive Bernstein polynomial approximation for a class of unknown nonlinear dynamic systems

Wen, G., & Liu, Y. (2023) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2023.03.011 · Cited by 8

Parallel adaptive event-triggered asynchronous control for two-time-scale fuzzy semi-Markov jump systems under deception attacks

Zhang, J., Ma, Y., Xu, Y., & Fu, L. (2023) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2023.09.057 · Cited by 8

Optimal synchronization with L2 -gain performance: An adaptive dynamic programming approach

Chen, Z., Chen, K., & Tang, R. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106566 · Cited by 7

Asynchronous finite-time extended dissipative filter on linear neutral semi-Markov jump systems under sensor saturation and dual-channel DoS attacks

Cheng, G., & Liu, H. (2024) · Applied Mathematics and Computation · doi:10.1016/j.amc.2024.128723 · Cited by 6

TGIN: Document-level event extraction with two-phase graph inference network

Yu, Z. W., Shen, B., & Wang, T. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106343 · Cited by 6

Nonlinear Model Predictive Control Based on Second-Order NARX-Laguerre Model for Twin Rotor System Control

Abdelwahed, I. B., & Bouzrara, K. (2024) · Iranian Journal of Science and Technology Transactions of Electrical Engineering · doi:10.1007/s40998-024-00725-x · Cited by 6

Event-triggered finite-time fault-tolerance control and simultaneous disturbance rejection for Markov jump systems with general transition probabilities

Pan, X., Pang, G., Chen, X., Liu, Y., Qiu, J., & Cao, J. (2024) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2024.107292 · Cited by 6

An approach for reaching consensus in large-scale group decision-making focusing on dimension reduction

Bakhshi, F., & Ashtiani, M. (2024) · Complex & Intelligent Systems · doi:10.1007/s40747-024-01377-4 · Cited by 6

Target Capturing in an Ellipsoidal Region with a Swarm of Quadcopter Agents with Different Social Value Orientation Parameters

Merzi, A., Gazi, V., Fedele, G., & D’Alfonso, L. (2023) · Journal of Intelligent & Robotic Systems · doi:10.1007/s10846-023-01910-6 · Cited by 5

The Artificial Neural Twin — Process optimization and continual learning in distributed process chains

Emmert, J., Mendez, R., Dastjerdi, H. M., Syben, C., & Maier, A. (2024) · Neural Networks · doi:10.1016/j.neunet.2024.106647 · Cited by 5

Inductive autoencoder for efficiently compressing RDF graphs

Sultana, T., Hossain, M. D., Morshed, M. G., Afridi, T. H., & Lee, Y.-K. (2024) · Information Sciences · doi:10.1016/j.ins.2024.120210 · Cited by 5

Observer-based finite-time H∞ fault-tolerant control for uncertain Markov jump systems against generally bounded transition probabilities via two-step dynamic event-triggered approach

Pang, G., Pan, X., Chen, X., Cao, J., Liu, Y., & Qiu, J. (2025) · Applied Mathematics and Computation · doi:10.1016/j.amc.2025.129407 · Cited by 4

Fuzzy adaptive event-triggered predefined time control for stochastic nonlinear systems

Yu, Y., Sui, S., Tong, S., & Chen, C. (2025) · Journal of the Franklin Institute · doi:10.1016/j.jfranklin.2025.107631 · Cited by 4

A collective neurodynamic approach to distributed resource allocation with event-triggered communication

Cai, X., Gao, B., & Nan, X. (2024) · Complex & Intelligent Systems · doi:10.1007/s40747-024-01436-w · Cited by 4

Comparative analysis of grid-interactive building control algorithms: From model-based to learning-based approaches

Biagioni, D., Zhang, X., Adcock, C., Sinner, M. N., Graf, P. A., & King, J. (2024) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2024.108498 · Cited by 4

Dynamic self-triggered protocol for Takagi-Sugeno fuzzy positive Markov switching systems

Zhang, L., Gao, C., Qi, W., Park, J. H., Cheng, J. S., & Shi, K. (2024) · Information Sciences · doi:10.1016/j.ins.2024.121733 · Cited by 4

Cooperative Control of Interconnected Air Suspension Based on Model Predictive Control

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