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We propose a decentralized model predictive control (MPC) design approach for possibly large-scale processes whose structure may not be dynamically decoupled. The decoupling assumption only appears in the prediction models used by the different MPC control agents. In [1] we presented a sufficient criterion for analyzing a posteriori the asymptotic stability of the process model in closed-loop with...
This paper studies synchronization properties of two classes of complex networks: directed time-varying network and undirected time-invariant network with constant edge weights. Based on Lyapunov stability theory, sufficient conditions for globally exponential and asymptotical synchronization are proposed for both of the two networks under control, which consists of an impulsive controller and a switching...
This paper discusses the infinite horizon stochastic Nash games with state-dependent noise. After establishing the asymptotic structure along with the positive semidefiniteness for the solutions of the cross-coupled stochastic algebraic Riccati equation (CSARE), recursive algorithm for solving the CSARE is derived. As a result, it is shown that the proposed algorithm attains linear convergence and...
We study a problem of output feedback stabilization of complex-valued reaction-advection-diffusion systems with parametric uncertainties (these systems can also be viewed as coupled parabolic PDEs). Both sensing and actuation are performed at the boundary of the PDE domain and the unknown parameters are allowed to be spatially varying. First, we transform the original system into the form where unknown...
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