
arXiv: 1108.5128
handle: 11697/112036 , 11697/111191
In this paper we develop novel results on self triggering control of nonlinear systems, subject to perturbations and actuation delays. First, considering an unperturbed nonlinear system with bounded actuation delays, we provide conditions that guarantee the existence of a self triggering control strategy stabilizing the closed--loop system. Then, considering parameter uncertainties, disturbances, and bounded actuation delays, we provide conditions guaranteeing the existence of a self triggering strategy, that keeps the state arbitrarily close to the equilibrium point. In both cases, we provide a methodology for the computation of the next execution time. We show on an example the relevant benefits obtained with this approach, in terms of energy consumption, with respect to control algorithms based on a constant sampling, with a sensible reduction of the average sampling time.
Proceedings of the 50th IEEE CDC-ECC, Orlando, Florida, USA, 2011
Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Control over networks; Control under computation constraints; Sensor networks; Control and Systems Engineering; Modeling and Simulation; Control and Optimization, nonlinear systems; robust control; self-triggered control; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition, Systems and Control
Optimization and Control (math.OC), Optimization and Control, FOS: Mathematics, FOS: Electrical engineering, electronic engineering, information engineering, Systems and Control (eess.SY), Control over networks; Control under computation constraints; Sensor networks; Control and Systems Engineering; Modeling and Simulation; Control and Optimization, nonlinear systems; robust control; self-triggered control; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition, Systems and Control
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