scholarly journals Forward-integration Riccati-based output-feedback control of linear time-varying systems

Author(s):  
A. Weiss ◽  
I. Kolmanovsky ◽  
D. S. Bernstein
2013 ◽  
Vol 479-480 ◽  
pp. 889-893
Author(s):  
Chieh Chuan Feng

In this paper, we study the robust output feedback control for a class of time-varying systems where the observer is used to estimate the system states and a learning scheme is also proposed to learn the time-varying parameters. A regulator control problem is pursued with known time-varying bounds. It is shown that to estimate the system states asymptotically only part of the time-varying function need to be learned, not necessarily all the time-varying parameters. The designed output feedback closed-loop control system guarantees a robust norm bound performance measure and uniformly asymptotic stability based on quadratic stability.


2016 ◽  
Vol 24 (7) ◽  
pp. 1239-1263 ◽  
Author(s):  
Anna Prach ◽  
Ozan Tekinalp ◽  
Dennis S Bernstein

For output-feedback control of linear time-varying (LTV) and nonlinear systems, this paper focuses on control based on the forward propagating Riccati equation (FPRE). FPRE control uses dual difference (or differential) Riccati equations that are solved forward in time. Unlike the standard regulator Riccati equation, which propagates backward in time, forward propagation facilitates output-feedback control of both LTV and nonlinear systems expressed in terms of a state-dependent coefficient (SDC). To investigate the strengths and weaknesses of this approach, this paper considers several nonlinear systems under full-state-feedback and output-feedback control. The internal model principle is used to follow and reject step, ramp, and harmonic commands and disturbances. The Mathieu equation, Van der Pol oscillator, rotational-translational actuator, and ball and beam are considered. All examples are considered in discrete time in order to remove the effect of integration accuracy. The performance of FPRE is investigated numerically by considering the effect of state and control weightings, the initial conditions of the difference Riccati equations, the domain of attraction, and the choice of SDC.


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