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This paper studies model reference adaptive control (MRAC) of discrete-time multi-input multi-output systems in the presence of output sensor uncertainties. Two multivariable MRAC schemes are developed, one for systems with known dynamics and one for systems with unknown dynamics, both with an adaptive compensation design for dealing with parametrizable sensor uncertainties when reliable output measurements...
Using the known periodicity of the given trajectory, we develop a new dynamical linearization method by introducing a concept of PPD, then present a new model-free periodic adaptive control approach (MFPAC) and its extension of higher-order learning control algorithm for a class of general nonlinear and non-affine discrete-time systems. It is model-free in nature and the controller design and analysis...
In this paper, stabilization problem of parametric strict feedback class of discrete time chaotic systems is addressed. The methodology followed here utilizes recursive procedure based on contraction framework and explicit structure of controller is derived for a class of nonlinear discrete time systems. Recursive design of controller using Lyapunov based analysis are well established but contraction...
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