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We propose a new event-generating rule for event-triggered control of nonlinear systems with external disturbances. We consider control systems that are input-to-state stabilizable with the external disturbance and the sampling errors as the inputs. By introducing a decision-making process in the event trigger, our sampling intervals are guaranteed to be larger than a positive lower bound. Moreover,...
This paper studies an event-triggered control problem for nonlinear systems in the presence of external disturbances. To avoid infinitely fast sampling caused by disturbances, a new event-triggering mechanism is proposed, which depends not only on the system state but also on an estimation of the influence of the external disturbance. Moreover, the closed-loop event-triggered system is proved to be...
This technical note deals with (local) asymptotic stabilization of uncertain nonlinear systems by output feedback control. Our study provides a new design technique from a vector control Lyapunov function perspective. A comparison principle is developed and as a major consequence, an effective estimation method of the region of attraction (ROA) is established. Application to a class of minimum-phase...
This paper studies the event-triggered control problem of nonlinear discrete-time systems in the presence of external disturbances. In particular, we focus on the case in which whether or not the system state is sampled at step k is determined by the feedback information at step k − 1. This problem is motivated by practical applications, and the proposed solution drastically differs from the existing...
This paper studies the event-triggered control problem for continuous-time systems subject to external disturbances. In particular, we consider continuous-time systems with bounded external disturbances. To overcome infinitely fast sampling caused by the disturbance, a combination of time-based trigger and event-based trigger is proposed, and an estimation of the magnitude of the external disturbance...
This paper studies the quantized partial-state feedback stabilization of a class of nonlinear cascaded systems with dynamic uncertainties. Under the assumption that the dynamic uncertainties are input-to-state practically stable, we develop a novel recursive design method for quantized stabilization by taking into account the influence of quantization and using the small-gain theorem. When the dynamic...
This paper presents a fundamentally novel approach to quantized output-feedback control of nonlinear systems. The advances made toward this challenging, yet important, problem are a seamless integration of dynamic quantization and the recently developed cyclic-small-gain theorem. The constructed output-feedback quantized controller guarantees the input-to-state stability (ISS) property for the closed-loop...
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