Robust self-triggered min–max model predictive control for discrete-time nonlinear systems
In this paper, we propose a robust self-triggered model predictive control (MPC) algorithm
for constrained discrete-time nonlinear systems subject to parametric uncertainties and …
for constrained discrete-time nonlinear systems subject to parametric uncertainties and …
Aperiodic robust model predictive control for constrained continuous-time nonlinear systems: An event-triggered approach
The event-triggered control is a promising solution to cyber-physical systems, such as
networked control systems, multiagent systems, and large-scale intelligent systems. In this …
networked control systems, multiagent systems, and large-scale intelligent systems. In this …
Event-based model predictive tracking control of nonholonomic systems with coupled input constraint and bounded disturbances
This paper studies the event-based model predictive control (EMPC) for tracking of
nonholonomic mobile robot with coupled input constraint and bounded disturbances. First …
nonholonomic mobile robot with coupled input constraint and bounded disturbances. First …
Triggering and control codesign in self-triggered model predictive control of constrained systems: With guaranteed performance
This note studies the self-triggered MPC problem for constrained discrete-time nonlinear
systems. A novel self-triggered MPC algorithm enabling the codesign of triggering and …
systems. A novel self-triggered MPC algorithm enabling the codesign of triggering and …
Event-triggered intermittent sampling for nonlinear model predictive control
In this paper, we propose a new aperiodic formulation of model predictive control for
nonlinear continuous-time systems. Unlike earlier approaches, we provide event-triggered …
nonlinear continuous-time systems. Unlike earlier approaches, we provide event-triggered …
Event-triggered robust model predictive control for Lipschitz nonlinear networked control systems subject to communication delays
S Ghorbani, AA Safavi… - Transactions of the …, 2021 - journals.sagepub.com
In this paper, the problem of event-triggered robust model predictive control (MPC) was
examined for a class of Lipchitz nonlinear networked control systems (NCS) with network …
examined for a class of Lipchitz nonlinear networked control systems (NCS) with network …
Adaptive self-triggered model predictive control of discrete-time linear systems
The communication load is a main concern for implementing model predictive control (MPC)
to networked control systems. This paper investigates the self-triggered MPC problem for …
to networked control systems. This paper investigates the self-triggered MPC problem for …
A lifting approach to learning-based self-triggered control with Gaussian processes
This paper investigates the design of self-triggered control for networked control systems
(NCS), where the dynamics of the plant are initially unknown. Given the nature of the self …
(NCS), where the dynamics of the plant are initially unknown. Given the nature of the self …
Self-triggered model predictive control for continuous-time systems: A multiple discretizations approach
K Hashimoto, S Adachi… - 2016 IEEE 55th …, 2016 - ieeexplore.ieee.org
In this paper, we propose a new self-triggered formulation of Model Predictive Control for
continuous-time linear networked control systems. Our control approach, which aims at …
continuous-time linear networked control systems. Our control approach, which aims at …
Decentralized event‐triggered robust MPC for large‐scale networked Lipchitz non‐linear control systems
S GHorbani, AA Safavi… - IET Control Theory & …, 2021 - Wiley Online Library
This article examines a decentralized event‐triggered robust model predictive control (MPC)
for a class of networked large‐scale non‐linear Lipchitz systems. It is assumed that the …
for a class of networked large‐scale non‐linear Lipchitz systems. It is assumed that the …