Output feedback control of TORA — A benchmark underactuated nonlinear system

2017 ◽  
Author(s):  
Nasir Khalidt ◽  
Attaullah Y. Memon
Keyword(s):  
Feedback Control ◽  
Nonlinear System ◽  
Output Feedback ◽  
Output Feedback Control

Delayed Output Feedback Control for Nonlinear Systems With Fuzzy Observers

2012 ◽  
Author(s):  
Mansour Karkoub ◽  
Tzu Sung Wu
Keyword(s):  
Feedback Control ◽  
Nonlinear System ◽  
Nonlinear Systems ◽  
Output Feedback ◽  
Tracking Error ◽  
Sufficient Conditions ◽  
Output Feedback Control ◽  
Linear Matrix ◽  
External Disturbances ◽  
Control Scheme

In this paper, the design problem of delayed output feedback control scheme using two-layer interval fuzzy observers for a class of nonlinear systems with state and output delays is investigated. The Takagi-Sugeno type fuzzy linear model with an on-line update law is used to approximate the nonlinear system. Based on the fuzzy model, a two-layer interval fuzzy observer is used to reconstruct the system states according to equal interval output time delay slices. Subsequently, a delayed output feedback adaptive fuzzy controller is developed to override the nonlinearities, time delays, and external disturbances such that the H∞ tracking performance is achieved. The linguistic information is developped by setting the membership functions of the fuzzy logic system and the adaptation parameters to estimate the model uncertainties directly for using linear analytical results instead of estimating nonlinear system functions. The filtered tracking error dynamics are designed to satisfy the Strictly Positive Realness (SPR) condition. Based on the Lyapunov stability criterion and linear matrix inequalities (LMIs), some sufficient conditions are derived so that all states of the system are uniformly ultimately bounded and the effect of the external disturbances on the tracking error can be attenuated to any prescribed level and consequently an H∞ tracking control is achieved. Finally, a numerical example of a two-link robot manipulator is given to illustrate the effectiveness of the proposed control scheme.

Analysis and design on photovoltaic nonlinear system: A delta operator fuzzy control scheme

2020 ◽  
Vol 13 ◽  
Author(s):  
He Lin ◽  
Zhenhua Shao ◽  
Xingyi Wang
Keyword(s):  
Feedback Control ◽  
Nonlinear System ◽  
Output Feedback ◽  
Sufficient Conditions ◽  
Output Feedback Control ◽  
Design Procedure ◽  
Linear Matrix ◽  
Delta Operator ◽  
Analysis And Design ◽  
Time Varying Delay

: The paper is concerned with the problem of robust ℋ͚ output feedback control for photo- voltaic nonlinear system. The delta operator fuzzy method is employed to exactly represent a class of photovoltaic nonlinear system subject to the time-varying delay and parametric uncertainties. We propose a fuzzy dynamic output feedback (FDOF) controller, and introduce a novel Lyapunov-Krasovskii functional (LKF) in delta domain, the framework of robust H∞ output feedback control is investigated. Sufficient conditions are derived for the existence of the desired FDOF controllers in terms of linear-matrix inequalities (LMIs). A numerical example is used to illustrate the design procedure of the present method.

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