Recent developments on the stability of systems with aperiodic sampling: An overview
This article presents basic concepts and recent research directions about the stability of
sampled-data systems with aperiodic sampling. We focus mainly on the stability problem for …
sampled-data systems with aperiodic sampling. We focus mainly on the stability problem for …
Toward data-driven optimal control: A systematic review of the landscape
This literature review extends and contributes to research on the development of data-driven
optimal control. Previous reviews have documented the development of model-based and …
optimal control. Previous reviews have documented the development of model-based and …
Periodic event-triggered control for linear systems
WPMH Heemels, MCF Donkers… - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
Event-triggered control (ETC) is a control strategy that is especially suited for applications
where communication resources are scarce. By updating and communicating sensor and …
where communication resources are scarce. By updating and communicating sensor and …
Event-separation properties of event-triggered control systems
DP Borgers, WPMH Heemels - IEEE Transactions on Automatic …, 2014 - ieeexplore.ieee.org
In this paper, we study fundamental properties of minimum inter-event times for several
event-triggered control architectures, both in the absence and presence of external …
event-triggered control architectures, both in the absence and presence of external …
Model-based periodic event-triggered control for linear systems
W Heemels, MCF Donkers - Automatica, 2013 - Elsevier
Periodic event-triggered control (PETC) is a control strategy that combines ideas from
conventional periodic sampled-data control and event-triggered control. By communicating …
conventional periodic sampled-data control and event-triggered control. By communicating …
Distributed optimal tracking control of discrete-time multiagent systems via event-triggered reinforcement learning
In this paper, an event-triggered optimal tracking control of discrete-time multi-agent systems
is addressed by using reinforcement learning. In contrast to traditional reinforcement …
is addressed by using reinforcement learning. In contrast to traditional reinforcement …
Event-Triggered Control of Nonlinear Discrete-Time System With Unknown Dynamics Based on HDP(λ)
T Li, D Yang, X Xie, H Zhang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The heuristic dynamic programming (HDP)()-based optimal control strategy, which takes a
long-term prediction parameter into account using an iterative manner, accelerates the …
long-term prediction parameter into account using an iterative manner, accelerates the …
Event-triggered adaptive dynamic programming for continuous-time systems with control constraints
In this paper, an event-triggered near optimal control structure is developed for nonlinear
continuous-time systems with control constraints. Due to the saturating actuators, a …
continuous-time systems with control constraints. Due to the saturating actuators, a …
Adaptive event-triggered control based on heuristic dynamic programming for nonlinear discrete-time systems
This paper presents the design of a novel adaptive event-triggered control method based on
the heuristic dynamic programming (HDP) technique for nonlinear discrete-time systems …
the heuristic dynamic programming (HDP) technique for nonlinear discrete-time systems …
Stabilization to exponential input-to-state stability via aperiodic intermittent control
This article studies the stabilization to exponential input-to-state stability (ISS) via aperiodic
intermittent control (APIC) for continuous-time systems. The stabilization is formulated as a …
intermittent control (APIC) for continuous-time systems. The stabilization is formulated as a …