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H∞-Based Minimal Energy Adaptive Control With Preset Convergence Rate | IEEE Journals & Magazine | IEEE Xplore

H-Based Minimal Energy Adaptive Control With Preset Convergence Rate


Abstract:

This work studies the {H}_{\infty } -based minimal energy control with a preset convergence rate (PCR) problem for a class of disturbed linear time-invariant continuou...Show More

Abstract:

This work studies the {H}_{\infty } -based minimal energy control with a preset convergence rate (PCR) problem for a class of disturbed linear time-invariant continuous-time systems with matched external disturbance. This problem aims to design an optimal controller so that the energy of the control input satisfies a predetermined requirement. Moreover, the closed-loop system asymptotic stability with PCR is ensured simultaneously. To deal with this problem, a modified game algebraic Riccati equation (MGARE) is proposed, which is different from the game algebraic Riccati equation in the traditional {H}_{\infty } control problem due to the state cost being lost. Therefore, a unique positive-definite solution of the MGARE is theoretically analyzed with its existing conditions. In addition, based on this formulation, a novel approach is proposed to solve the actuator magnitude saturation problem with the system dynamics being exactly known. To relax the requirement of the knowledge of system dynamics, a model-free policy iteration approach is proposed to compute the solution of this problem. Finally, the effectiveness of the proposed approaches is verified through two simulation examples.
Published in: IEEE Transactions on Cybernetics ( Volume: 52, Issue: 10, October 2022)
Page(s): 10078 - 10088
Date of Publication: 22 March 2021

ISSN Information:

PubMed ID: 33750726

Funding Agency:


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