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This paper proposes a strategy referred to as stability overlay (SO) for linear and nonlinear time-varying plants, that provides input/output stability guarantees for a wide set of adaptive control schemes. We use this methodology to endow multiple-model adaptive control (MMAC) architectures with robust stability properties when the plant to be controlled is uncertain and time-varying. We emphasize...
Non parametric identifier based on differential neural networks is presented. Nonlinear systems with the a priori information about state constrains are considered. Differential neural network identifier includes a projectional operator as part of its structure in order to keep the state restrictions. Stability analysis based on Lyapunov-Krasovskii energetic-function lets proof the ultimated boundedness...
In this paper, we introduce a new type of Lyapunov functions in a general framework particularly suitable for the analysis and control of systems with noise and uncertainty. These Lyapunov functions may depend on parameters possibly satisfying differential equations. The main differences with respect to classical Lyapunov functions and classical tools for the design of composite Lyapunov functions...
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