Robust model-based fault diagnosis for dynamic systems
Robust model-based fault diagnosis for dynamic systems
Adaptive Control Design and Analysis (Adaptive and Learning Systems for Signal Processing, Communications and Control Series)
Brief Paper: Reliable State Feedback Control System Design Against Actuator Failures
Automatica (Journal of IFAC)
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The problem of performance robustness of model reference adaptive control (MARC) schemes under reduction in actuator effectiveness (loss-of-effectiveness) is studied in this paper. The reduction is modeled by an uncertain gain matrix representing the actuator effectiveness at the control inputs. MRAC systems are analyzed to determine the robustness of the desired closed-loop performance of stability and asymptotic tracking with respect to such reductions. Conclusions are drawn for direct multivariable MRAC as well as indirect MRAC for both continuous-time and discrete-time schemes. A simulation study is presented to illustrate some of the theoretical results.