Fuzzy adaptive observer backstepping control for MIMO nonlinear systems

2009 ◽  
Vol 160 (19) ◽  
pp. 2755-2775 ◽  
Author(s):  
Tong Shaocheng ◽  
Li Changying ◽  
Li Yongming
Keyword(s):  
Nonlinear Systems ◽  
Backstepping Control ◽  
Adaptive Observer ◽  
Mimo Nonlinear Systems ◽  
Fuzzy Adaptive

scholarly journals Adaptive Fuzzy Fault-Tolerant Output Feedback Tracking Control of Uncertain Stochastic Nonlinear Systems with Unknown Time-Delay and Tracking Error Constrained

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Shuai Sui ◽  
Shaocheng Tong ◽  
Yongming Li
Keyword(s):  
Time Delay ◽  
Feedback Control ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Tracking Error ◽  
Output Feedback Control ◽  
Adaptive Observer ◽  
Stochastic Nonlinear Systems ◽  
Adaptive Fuzzy ◽  
Fuzzy Adaptive

The problem of tracking error constrained adaptive fuzzy output feedback control is investigated for a class of single-input and single-output (SISO) stochastic nonlinear systems with actuator faults, unknown time-delay, and unmeasured states. The considered faults are modeled as both loss of effectiveness and lock-in-place. The fuzzy logic systems are used to approximate the unknown nonlinear functions, and a fuzzy adaptive observer is designed for estimating the unmeasured states. By transforming the tracking errors into new virtual error variables and based on backstepping recursive design technique, a new fuzzy adaptive output feedback control method is developed. It is shown that all the signals of the resulting closed-loop system are bounded in probability and the tracking error remains an adjustable neighborhood of the origin within the prescribed bounds. The simulation results are provided to show the effectiveness of the proposed approach.

scholarly journals Switching mechanism-based event-triggered fuzzy adaptive control with prescribed performance for MIMO nonlinear systems

2021 ◽  
Vol 0 (0) ◽  
pp. 0
Author(s):  
Ruitong Wu ◽  
Yongming Li ◽  
Jun Hu ◽  
Wei Liu ◽  
Shaocheng Tong
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Threshold Strategy ◽  
Fuzzy Adaptive Control ◽  
Controlled System ◽  
Prescribed Performance ◽  
Mimo Nonlinear Systems ◽  
Switching Mechanism ◽  
Control Scheme ◽  
Fuzzy Adaptive

<p style='text-indent:20px;'>This paper investigates the switching mechanism-based event-trig-gered fuzzy adaptive control issue of multi-input and multi-output (MIMO) nonlinear systems with prescribed performance (PP). Utilizing fuzzy logic systems (FLSs) to approximate unknown nonlinear functions. By using the switching threshold strategy, the system has more flexibility in strategy selection. The proposed control scheme can better solve the communication resource limitation. On account of the Lyapunov stability theory, the stability of the controlled system is proved. And all signals of the controlled system are bounded. Moreover, the tracking errors are controlled in a diminutive realm of the origin within the PP bounded. Simultaneously, the Zeno behavior is avoided. Finally, illustrate the effectiveness of the control scheme that has been proposed by demonstrating some simulation consequences.</p>

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