Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy

Xu, Jiahui; Wang, Jingcheng; Rao, Jun; Wu, Shunyu; Zhong, Yanjiu

doi:10.1109/tsmc.2023.3327450

IEEE Trans. Syst. Man Cybern, Syst.

2024

DOI: 10.1109/tsmc.2023.3327450

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Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy

Jiahui Xu,

Jingcheng Wang,

Jun Rao

et al.

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Cited by 3 publications

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Model-free adaptive dynamic event-triggered robust control for unknown nonlinear systems using iterative neural dynamic programming

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Model-free adaptive dynamic event-triggered robust control for unknown nonlinear systems using iterative neural dynamic programming

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Parallel Cross Entropy Policy Gradient Adaptive Dynamic Programming for Optimal Tracking Control of Discrete-Time Nonlinear Systems

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Observer-based dual-dynamic event-triggered mechanism design for balance control of motion robots

Chen,

Yang,

Zhu

et al. 2024

DCDS-S

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This paper investigates the issue of observer-based dual-dynamic event-triggered scheme into networked control systems, focusing on its application to motion robots. Firstly, it establishes a mathematical model of the motion robot system based on Newtonian mechanics. Secondly, it introduces a dynamic event-triggering mechanism coupled with observer design to minimize data transmission and enhance communication efficiency. Thirdly, it implements a second dynamic event-triggering protocol for controller design, ensuring a positive lower bound for triggering event intervals, thus avoiding Zeno behavior. Fourthly, it constructs a Lyapunov function with internal dynamic variables for stability analysis using linear matrix inequalities. Finally, simulation studies validate the method's efficacy for motion robot systems.

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Adaptive Dynamic Programming for Optimal Control of Discrete-Time Nonlinear Systems With Trajectory-Based Initial Control Policy

Cited by 3 publications

References 25 publications

Model-free adaptive dynamic event-triggered robust control for unknown nonlinear systems using iterative neural dynamic programming

Model-free adaptive dynamic event-triggered robust control for unknown nonlinear systems using iterative neural dynamic programming

Parallel Cross Entropy Policy Gradient Adaptive Dynamic Programming for Optimal Tracking Control of Discrete-Time Nonlinear Systems

Observer-based dual-dynamic event-triggered mechanism design for balance control of motion robots

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