Model predictive control in aerospace systems: Current state and opportunities

U Eren, A Prach, BB Koçer, SV Raković… - Journal of Guidance …, 2017 - arc.aiaa.org
CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

Quasi-synchronization of discrete-time Lur'e-type switched systems with parameter mismatches and relaxed PDT constraints

Y Zhu, WX Zheng, D Zhou - IEEE transactions on cybernetics, 2019 - ieeexplore.ieee.org
This paper investigates the problem of quasi-synchronization for a class of discrete-time
Lur'e-type switched systems with parameter mismatches and transmission channel noises …

Cooperative control for multi-player pursuit-evasion games with reinforcement learning

Y Wang, L Dong, C Sun - Neurocomputing, 2020 - Elsevier
In this paper, we consider a pursuit-evasion game in which multiple pursuers attempt to
capture one superior evader. A distributed cooperative pursuit strategy with communication …

Moving Target Tracking by Unmanned Aerial Vehicle: A Survey and Taxonomy

N Sun, J Zhao, Q Shi, C Liu, P Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Moving target tracking is one of the most active applications in the field of unmanned aerial
vehicles (UAVs). Due to their high adaptability, UAVs equipped with multisensor vision …

Multi-player pursuit–evasion games with one superior evader

J Chen, W Zha, Z Peng, D Gu - Automatica, 2016 - Elsevier
Inspired by the hunting and foraging behaviors of group predators, this paper addresses a
class of multi-player pursuit–evasion games with one superior evader, who moves faster …

Threat potential field based Pursuit–Evasion Games for underactuated Unmanned Surface Vehicles

Y Wang, X Wang, W Zhou, H Yan, S Xie - Ocean Engineering, 2023 - Elsevier
Abstract Unmanned Surface Vehicles (USVs) have been widely applied in ocean
engineering. However, there are few studies for Pursuit–Evasion Game based on USVs …

Obstacle avoidance in real time with nonlinear model predictive control of autonomous vehicles

MA Abbas, R Milman, JM Eklund - Canadian journal of …, 2017 - ieeexplore.ieee.org
A Nonlinear model predictive control (NMPC) for trajectory tracking with the obstacle
avoidance of autonomous road vehicles traveling at realistic speeds is presented in this …

Improving maneuver strategy in air combat by alternate freeze games with a deep reinforcement learning algorithm

Z Wang, H Li, H Wu, Z Wu - Mathematical Problems in …, 2020 - Wiley Online Library
In a one‐on‐one air combat game, the opponent's maneuver strategy is usually not
deterministic, which leads us to consider a variety of opponent's strategies when designing …

Iterative convex optimization for model predictive control with discrete-time high-order control barrier functions

S Liu, J Zeng, K Sreenath… - 2023 American Control …, 2023 - ieeexplore.ieee.org
Safety is one of the fundamental challenges in control theory. Recently, multi-step optimal
control problems for discrete-time dynamical systems were formulated to enforce stability …

A dynamics perspective of pursuit-evasion: Capturing and escaping when the pursuer runs faster than the agile evader

W Li - IEEE Transactions on Automatic Control, 2016 - ieeexplore.ieee.org
Pursuit-evasion is fascinating in both nature and artificial world. Typically, a pursuer runs
faster than its targeted evader while with less agile maneuverability. Naturally, there is a …