Voltage regulation of a fuel cell-boost converter system : A proportional integral exact tracking error dynamics passive output feedback control approach

2012 ◽  
Author(s):  
H. Sira-Ramirez ◽  
M. A. Oliver-Salazar ◽  
J. Leyva-Ramos
Keyword(s):  
Fuel Cell ◽  
Feedback Control ◽  
Output Feedback ◽  
Tracking Error ◽  
Output Feedback Control ◽  
Voltage Regulation ◽  
Control Approach ◽  
Proportional Integral ◽  
System A ◽  
Error Dynamics

scholarly journals Adaptive Observer-Based Output Feedback Control for Two-Wheeled Self-Balancing Robot

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ines Jmel ◽  
Habib Dimassi ◽  
Salim Hadj Said ◽  
Faouzi M’Sahli
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Control Method ◽  
Tracking Error ◽  
Output Feedback Control ◽  
High Gain ◽  
Adaptive Observer ◽  
Unknown Parameters ◽  
Control Approach ◽  
Balancing Robot

In this paper, an output feedback control approach based on an adaptive observer is developed for the two-wheeled self-balancing robot subject to unknown parameters (with nonlinear parameterization). Firstly, a high gain control method with state feedback is proposed. Then, an adaptive observer is designed to estimate the unknown state and the unknown body mass of the robot which influences the height of the center of mass. Next, the adaptive observer is combined with the designed high gain controller: a Lyapunov-based stability analysis of the closed loop system is developed to establish the convergence of the tracking error as well as estimation and adaptation errors. Simulation results assert the performance of the developed tracking control scheme for the two-wheeled self-balancing robot subject to mass variation.

scholarly journals Adaptive output feedback control for a class of uncertain non-strict feedback systems with asymmetric time-varying output constraints

2020 ◽  
Vol 12 (9) ◽  
pp. 168781402095882
Author(s):  
Min Wan ◽  
Shanshan Huang
Keyword(s):  
Feedback Control ◽  
Output Feedback ◽  
Tracking Error ◽  
Output Feedback Control ◽  
Time Varying ◽  
Dynamic Surface ◽  
Adaptive Output Feedback Control ◽  
Output Constraints ◽  
Fuzzy State ◽  
Strict Feedback

This study investigated a novel adaptive output feedback control scheme for non-strict feedback nonlinear systems with uncertainties, disturbances, and asymmetric time-varying output constraints. Because that the states of the system are unmeasurable, we used an adaptive fuzzy state observer to obtain the estimated values of the states. To make the output and tracking error satisfy their asymmetric time-varying constraints, an asymmetric time-varying barrier Lyapunov function was adopted. To overcome the “explosion of complexity” problem, we also adopted the dynamic surface control technology. The stability of the closed-loop system was proved by the Lyapunov method, and we give two simulation examples to show the effectiveness of the proposed control method.

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.

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