2017 American Control Conference (ACC) 2017
DOI: 10.23919/acc.2017.7963085
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Self-triggered control for constrained systems: A contractive set-based approach

Abstract: In this paper, a self-triggered control scheme for constrained discrete-time control systems is presented. The key idea of our approach is to construct a transition system or a graph structure from a collection of polyhedral sets, which are generated based on the notion of set-invariance theory. The interevent time steps are then determined through a standard graph search algorithm to obtain the minimal total cost to a terminal state. The proposed strategy is illustrated through a numerical example.

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Cited by 7 publications
(9 citation statements)
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References 19 publications
(42 reference statements)
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“…In the approach presented in this paper, we deal with nonlinear discrete-time systems and a non-convex safety set and the control objective is to achieve reachability and safety. Thus the proposed approach establishes the novelty with respect to the previous approach in [26]. As we will see later, the key ideas to achieve this novelty is the utilization of several trajectory generation tools, such as RRT [30], RRT* [31], which allows to generate a nominal state trajectory towards a target region in a non-convex safety set (see Section III-A), and the utilization of δ-ISS control Lyapunov functions, which allows to analyze how the actual state trajectory differs from the nominal one according to the occurrence of communication (see Section IV-A).…”
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confidence: 95%
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“…In the approach presented in this paper, we deal with nonlinear discrete-time systems and a non-convex safety set and the control objective is to achieve reachability and safety. Thus the proposed approach establishes the novelty with respect to the previous approach in [26]. As we will see later, the key ideas to achieve this novelty is the utilization of several trajectory generation tools, such as RRT [30], RRT* [31], which allows to generate a nominal state trajectory towards a target region in a non-convex safety set (see Section III-A), and the utilization of δ-ISS control Lyapunov functions, which allows to analyze how the actual state trajectory differs from the nominal one according to the occurrence of communication (see Section IV-A).…”
mentioning
confidence: 95%
“…While many control strategies to achieve reachability and safety have been proposed as illustrated above, only a few works have been provided to accommodate communication strategies, aiming at reducing the communication load for NCSs, see e.g., [7], [26]. For example, in [7] an aperiodic control scheme was proposed by using the notion of control invariant set, which guarantees the existence of a controller such that the state remains inside the safety set for all time.…”
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confidence: 99%
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“…Hashimoto et al . [9] proposed a self‐triggered strategy by constructing a contractive set to stabilise the constrained discrete‐time systems.…”
Section: Introductionmentioning
confidence: 99%