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This paper presents a self-triggered model predictive control (MPC) algorithm for constrained linear discrete-time systems in the presence of bounded state and output disturbances, when only the system output can be measured at triggering instants. The proposed algorithm mainly relies on a state estimator whose estimation error is bounded by an invariant set, and on the self-triggered robust model...
In this paper, the robust output regulation problem of a networked linear system with uncertainties is considered. Based on internal model, distributed control scheme is adopted to achieve the objectives of asymptotic tracking and disturbance rejection in a networked uncertain system where both the reference inputs and disturbances are generated by an exosystem. Both state and output feedback designs...
In this note, the robust output regulation problem of a multi-agent system is considered. An internal model based distributed control scheme is adopted to achieve the objectives of asymptotic tracking and disturbance rejection in an uncertain multi-agent system where both the reference inputs and disturbances are generated by an exosystem.
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