A New Integral Critic Learning for Optimal Tracking Control with Applications to Boiler‐Turbine Systems

2021 ◽  
Author(s):  
Qinglai Wei ◽  
Yujia Liu ◽  
Jingwei Lu ◽  
Jun Ling ◽  
Zhenhua Luan ◽  
...  
Keyword(s):  
Tracking Control ◽  
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.

scholarly journals Biomimetic Optimal Tracking Control using Mean Field Games and Spiking Neural Networks

2020 ◽  
Vol 53 (2) ◽  
pp. 8112-8117
Author(s):  
Zejian Zhou ◽  
M. Sami Fadali ◽  
Hao Xu
Keyword(s):  
Neural Networks ◽  
Tracking Control ◽  
Mean Field ◽  
Spiking Neural Networks ◽  
Mean Field Games ◽  
Optimal Tracking ◽  
Optimal Tracking Control

scholarly journals Data-Based Nonaffine Optimal Tracking Control Using Iterative DHP Approach

2020 ◽  
Vol 53 (2) ◽  
pp. 4246-4251
Author(s):  
Mingming Ha ◽  
Ding Wang ◽  
Derong Liu
Keyword(s):  
Tracking Control ◽  
Optimal Tracking ◽  
Optimal Tracking Control

Adaptive Neural Inverse Optimal Tracking Control for Uncertain Multi-agent Systems

2021 ◽  
Author(s):  
Zhuangbi Lin ◽  
Zhi Liu ◽  
Yun Zhang ◽  
C.L.Philip Chen
Keyword(s):  
Tracking Control ◽  
Multi Agent Systems ◽  
Optimal Tracking ◽  
Agent Systems ◽  
Optimal Tracking Control ◽  
Multi Agent

Nonlinear Optimal Tracking Control Applied to the Rotary Inverted Pendulum

2021 ◽  
Author(s):  
Serafin Ramos-Paz ◽  
Fernando Ornelas-Tellez ◽  
Luis Alfonso Inostroza-Moreno
Keyword(s):  
Tracking Control ◽  
Inverted Pendulum ◽  
Optimal Tracking ◽  
Optimal Tracking Control ◽  
Rotary Inverted Pendulum
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