Output Feedback Adaptive Control for Stochastic Non-strict-feedback System with Dead-zone

In this paper, a new design of the model reference control scheme is proposed in a class of nonlinear strict-feedback system. First, the system is analyzed using Lyapunov stability analysis. Next, a model reference is used to improve system performance. Then, the Integral Square Error (ISE) is considered as a cost function to drive the error between the reference model and the system to zero. After that, a powerful metaheuristic optimization method is used to optimize the parameters of the proposed controller. Finally, the results show that the proposed controller can effectively compensate for the strictly-feedback nonlinear system with more desirable performance.

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Moments of an output feedback system

Electronics Letters ◽

10.1049/el:19760448 ◽

1976 ◽

Vol 12 (22) ◽

pp. 588 ◽

Cited By ~ 5

Author(s):

Hikaru Inooka

Keyword(s):

Output Feedback ◽

Feedback System

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Observer-Based Output Feedback Event-Triggered Adaptive Control for Linear Multiagent Systems Under Switching Topologies

IEEE Transactions on Neural Networks and Learning Systems ◽

10.1109/tnnls.2021.3084317 ◽

2021 ◽

pp. 1-11

Author(s):

Juan Zhang ◽

Huaguang Zhang ◽

Kun Zhang ◽

Yuliang Cai

Keyword(s):

Adaptive Control ◽

Multiagent Systems ◽

Output Feedback ◽

Switching Topologies ◽

Event Triggered

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Adaptive control based on Barrier Lyapunov function for a class of full-state constrained stochastic nonlinear systems with dead-zone and unmodeled dynamics

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331220985637 ◽

2021 ◽

pp. 014233122098563

Author(s):

Fei Shen ◽

Xinjun Wang ◽

Xinghui Yin

Keyword(s):

Adaptive Control ◽

Nonlinear Systems ◽

Lyapunov Function ◽

Dead Zone ◽

Small Neighborhood ◽

Unmodeled Dynamics ◽

Stochastic Nonlinear Systems ◽

Dynamic Surface ◽

Barrier Lyapunov Function ◽

Full State

This paper investigates the problem of adaptive control based on Barrier Lyapunov function for a class of full-state constrained stochastic nonlinear systems with dead-zone and unmodeled dynamics. To stabilize such a system, a dynamic signal is introduced to dominate unmodeled dynamics and an assistant signal is constructed to compensate for the effect of the dead zone. Dynamic surface control is used to solve the “complexity explosion” problem in traditional backstepping design. Two cases of symmetric and asymmetric Barrier Lyapunov functions are discussed respectively in this paper. The proposed Barrier Lyapunov function based on backstepping method can ensure that the output tracking error converges in the small neighborhood of the origin. This control scheme can ensure that semi-globally uniformly ultimately boundedness of all signals in the closed-loop system. Two simulation cases are proposed to verify the effectiveness of the theoretical method.

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