— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
— 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 se...
Paulo Andre Nobre Rosa, Jeff S. Shamma, Carlos Sil...
— For an Estimation Based Multiple Model Switched Adaptive Control (EMMSAC) algorithm controlling a MIMO minimal LTI plant, lp, 1 ≤ p ≤ ∞ bounds on the gain from the input ...
— This paper deals with real-time control under computational constraints. A robust control approach to control/real-time scheduling co-design is proposed using the H∞ framewor...