Adaptive critic learning for approximate optimal event-triggered tracking control of nonlinear systems with prescribed performances

T Wang, L Zhang, N Xu, KH Alharbi - International Journal of …, 2024 - Taylor & Francis
This paper studies the approximate optimal event-triggered tracking control problem for a
class of second-order nonlinear systems with prescribed performances. By employing a …

Formation control scheme with reinforcement learning strategy for a group of multiple surface vehicles

K Nguyen, VT Dang, DD Pham… - International Journal of …, 2024 - Wiley Online Library
This article presents a comprehensive approach to integrate formation tracking control and
optimal control for a fleet of multiple surface vehicles (SVs), accounting for both kinematic …

Safe exploration in model-based reinforcement learning using control barrier functions

MH Cohen, C Belta - Automatica, 2023 - Elsevier
This paper develops a model-based reinforcement learning (MBRL) framework for learning
online the value function of an infinite-horizon optimal control problem while obeying safety …

Temporal logic guided safe model-based reinforcement learning: A hybrid systems approach

MH Cohen, Z Serlin, K Leahy, C Belta - Nonlinear Analysis: Hybrid Systems, 2023 - Elsevier
This paper studies the problem of synthesizing control policies for uncertain continuous-time
nonlinear systems from linear temporal logic (LTL) specifications using model-based …

Approximate optimal indirect regulation of an unknown agent with a Lyapunov-based deep neural network

WA Makumi, ZI Bell, WE Dixon - IEEE Control Systems Letters, 2023 - ieeexplore.ieee.org
An approximate optimal policy is developed for a pursuing agent to indirectly regulate an
evading agent coupled by an unknown interaction dynamic. Approximate dynamic …

Target tracking subject to intermittent measurements using attention deep neural networks

ZI Bell, R Sun, K Volle, P Ganesh… - IEEE Control …, 2022 - ieeexplore.ieee.org
This letter presents a novel estimator and predictor framework for target tracking applications
that estimates the pose of a mobile target that intermittently leaves the field-of-view (FOV) of …

Modular adaptive safety-critical control

MH Cohen, C Belta - 2023 American Control Conference (ACC), 2023 - ieeexplore.ieee.org
This paper presents an adaptive control approach for uncertain nonlinear systems subject to
safety constraints that allows for modularity in the selection of the parameter estimation …

Approximate Optimal Indirect Control of an Unknown Agent Within a Dynamic Environment Using a Lyapunov-Based Deep Neural Network

JN Philor, WA Makumi, ZI Bell… - 2024 American Control …, 2024 - ieeexplore.ieee.org
An optimal control policy is derived for an indirect herding control problem in an environment
with moving obstacles. A herding agent is tasked with influencing a target agent toward a …

A Collision‐Free Pursuit‐Evasion Framework for Indirect Herding and Formation Control of Noncooperative UAVs

Y Zhang, Y Zhu, M Tan, J Wang - International Journal of …, 2025 - Wiley Online Library
In this article, we aim to design a general framework for the pursuit‐evasion (PE) game of
multiple UAVs. Based on the distance between the pursuers and the evader, the whole …