Home // ADAPTIVE 2025, The Seventeenth International Conference on Adaptive and Self-Adaptive Systems and Applications // View article


A Control Framework for Direct Adaptive State and Input Matrix Estimation with Known Inputs for LTI Dynamic Systems

Authors:
Kevin Fuentes
Mark Balas
James Hubbard

Keywords: Adaptive; Control; Estimation; Plant; Input Matrix

Abstract:
Abstract—Equations Of Motion (EOM) can effectively describe the true physical dynamics within a set of assumptions and constraints. However, in many dynamic systems, the true physical system can deteriorate over time, leading to altered performance as the system ages and is utilized. These physical changes can be characterized as alterations in the constitutive contents and inter- nal interactions. If these health changes are not accounted for in the EOM, discrepancies may emerge between the physical and the model responses. The proposed control scheme examines the case where the true system’s plant and input matrix may experience a form of health change. The control scheme depends on knowing the true system’s input and output state. The Lyapunov stability proof guarantees internal and external state error convergence to zero asymptotically if the true system experiences health changes within the assumptions and constraints of the proposed control scheme.

Pages: 9 to 15

Copyright: Copyright (c) IARIA, 2025

Publication date: April 6, 2025

Published in: conference

ISSN: 2308-4146

ISBN: 978-1-68558-261-6

Location: Valencia, Spain

Dates: from April 6, 2025 to April 10, 2025