Approximation-Error-ADP-Based Optimal Tracking Control for Chaotic Systems

2018 ◽  
pp. 127-145 ◽  
Author(s):  
Ruizhuo Song ◽  
Qinglai Wei ◽  
Qing Li
Keyword(s):  
Tracking Control ◽  
Chaotic Systems ◽  
Approximation Error ◽  
Optimal Tracking ◽  
Optimal Tracking Control

Approximation-error-ADP-based optimal tracking control for chaotic systems with convergence proof

2013 ◽  
Vol 22 (9) ◽  
pp. 090502 ◽  
Author(s):  
Rui-Zhuo Song ◽  
Wen-Dong Xiao ◽  
Chang-Yin Sun ◽  
Qing-Lai Wei
Keyword(s):  
Tracking Control ◽  
Chaotic Systems ◽  
Approximation Error ◽  
Optimal Tracking ◽  
Optimal Tracking Control ◽  
Convergence Proof

Off-policy integral reinforcement learning optimal tracking control for continuous-time chaotic systems

2015 ◽  
Vol 24 (9) ◽  
pp. 090504 ◽  
Author(s):  
Qing-Lai Wei ◽  
Rui-Zhuo Song ◽  
Qiu-Ye Sun ◽  
Wen-Dong Xiao
Keyword(s):  
Reinforcement Learning ◽  
Continuous Time ◽  
Tracking Control ◽  
Chaotic Systems ◽  
Optimal Tracking ◽  
Optimal Tracking Control

scholarly journals Robust Optimal Tracking Control of a Full-Bridge DC-AC Converter

2021 ◽  
Vol 11 (3) ◽  
pp. 1211
Author(s):  
En-Chih Chang ◽  
Chun-An Cheng ◽  
Rong-Ching Wu
Keyword(s):  
Steady State ◽  
Digital Signal Processor ◽  
Tracking Control ◽  
Harmonic Distortion ◽  
Digital Signal ◽  
Fast Convergence ◽  
Solution Quality ◽  
Hybrid Strategy ◽  
Optimal Tracking ◽  
Optimal Tracking Control

This paper develops a full-bridge DC-AC converter, which uses a robust optimal tracking control strategy to procure a high-quality sine output waveshape even in the presence of unpredictable intermissions. The proposed strategy brings out the advantages of non-singular fast convergent terminal attractor (NFCTA) and chaos particle swarm optimization (CPSO). Compared with a typical TA, the NFCTA affords fast convergence within a limited time to the steady-state situation, and keeps away from the possibility of singularity through its sliding surface design. It is worth noting that once the NFCTA-controlled DC-AC converter encounters drastic changes in internal parameters or the influence of external non-linear loads, the trembling with low-control precision will occur and the aggravation of transient and steady-state performance yields. Although the traditional PSO algorithm has the characteristics of simple implementation and fast convergence, the search process lacks diversity and converges prematurely. So, it is impossible to deviate from the local extreme value, resulting in poor solution quality or search stagnation. Thereby, an improved version of traditional PSO called CPSO is used to discover global optimal NFCTA parameters, which can preclude precocious convergence to local solutions, mitigating the tremor as well as enhancing DC-AC converter performance. By using the proposed stable closed-loop full-bridge DC-AC converter with a hybrid strategy integrating NFCTA and CPSO, low total harmonic distortion (THD) output-voltage and fast dynamic load response are generated under nonlinear rectifier-type load situations and during sudden load changes, respectively. Simulation results are done by the Matlab/Simulink environment, and experimental results of a digital signal processor (DSP) controlled full-bridge DC-AC converter prototype confirm the usefulness of the proposed strategy.

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