Sufficient conditions are developed for characterizing robust decentralized static output feedback controllers. The approach involves deriving necessary conditions for minimizing a bound on closed-loop performance over a specified range of uncertain parameters. The effect of plant parameter variations on the closed-loop covariance is overbounded by means of a modified Lyapunov equation whose so...

A new formulation of Stochastic Model Predictive Output Feedback Control is presented and analyzed as a translation of Stochastic Optimal Output Feedback Control into a receding horizon setting. This requires lifting the design into a framework involving propagation of the conditional state density, the information state, via the Bayesian Filter and solution of the Stochastic Dynamic Programmin...