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A multiple model adaptive controller is proposed for nonlinear systems in parametric-strict-feedback form.
Multiple model adaptive control (MMAC) of discrete time plant is considered in this paper.
This new modified MMAE is termed a Generalized Residual Multiple Model Adaptive Estimator (GRMMAE).
This paper details a multiple model adaptive control strategy for model predictive control (MPC).
A simulation example is given to demonstrate the effectiveness of the proposed multiple model adaptive controller.
In this paper, a multiple model adaptive control (MMAC) method is proposed for a gas turbine engine.
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In this paper, weighted multiple models adaptive controller (WMMAC) is proposed.
The fault-tolerant architecture employed is based on the so-called "Robust Multiple-Model Adaptive Control" (RMMAC) and hence is referred to as "RMMAC/FDI".
This paper develops a multivariable multiple-model adaptive control scheme for adaptive state feedback state tracking control of systems whose plant-model matching conditions are uncertain and parameters are unknown.
This paper discusses the identification and convergence, in a deterministic setting, of a class of Continuous-Time Multiple-Model Adaptive Estimators (CT-MMAE) for state-affine multiple-input-multiple-output systems with parametric uncertainty.
The proposed control scheme is a combination between multiple model and adaptive reconfiguration control.
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Justyna Jupowicz-Kozak
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