A5100605691- Advanced Control Systems Optimization
- Distributed Control Multi-Agent Systems
- Adaptive Control of Nonlinear Systems
- Fault Detection and Control Systems
- Neural Networks Stability and Synchronization
- Stability and Control of Uncertain Systems
- Control and Dynamics of Mobile Robots
- Underwater Vehicles and Communication Systems
- Mathematical and Theoretical Epidemiology and Ecology Models
- Control Systems and Identification
- Adaptive Dynamic Programming Control
- Robotic Path Planning Algorithms
- Robotics and Sensor-Based Localization
- Fuel Cells and Related Materials
- Video Surveillance and Tracking Methods
- Indoor and Outdoor Localization Technologies
- Anomaly Detection Techniques and Applications
- Reinforcement Learning in Robotics
- Maritime Navigation and Safety
- Guidance and Control Systems
- Control and Stability of Dynamical Systems
- Target Tracking and Data Fusion in Sensor Networks
- Advanced Vision and Imaging
- Traffic Prediction and Management Techniques
- Advanced Image and Video Retrieval Techniques
Northwestern Polytechnical University
2016-2025
Shandong University
2006-2025
Cardiovascular Research Center
2025
National Institute for Materials Science
2024
Guangdong Polytechnic Normal University
2024
Tianjin University of Technology and Education
2021-2023
Institute of Electronics
2023
University of Electronic Science and Technology of China
2020-2023
Tianjin University of Science and Technology
2022
Xi'an University of Technology
2021
This paper surveys the recent advances in marine mechatronic systems from a control perspective. The survey is by no means exhaustive, but introduces some notable results area. New developments terms of system designs for surface vessels, underwater robotic vehicles, profiling floats, gliders, wave energy converters, and offshore wind turbines are briefly reviewed. In addition, few avenues future research identified.
Due to the ubiquitous existence of external disturbances, design distributed control algorithms with robustness is an urgent demand for multi-agent system applications. This technical note investigates robust model predictive (MPC) problem a group nonlinear agents (subsystems) subject input constraints and disturbances. A constraint proposed handle Based on this, novel MPC scheme designed overall agent system. Furthermore, feasibility stability are analyzed, respectively. The conditions...
The cooperative control of marine vehicles finds wide applications in many missions and tasks. This paper investigates the receding horizon formation tracking problem a fleet underactuated autonomous underwater (AUVs), which follower AUVs are required to track leader with prescribed pattern, inputs subject practical constraints. An auxiliary stabilizable law is first designed, based on novel optimization proposed new (RHC) algorithm designed generate inputs. theoretical feasibility...
This paper investigates the predictive control scheme and associated stability issue for constrained nonlinear networked systems (NCSs), where both sensor-to-controller packet dropout controller-to-actuator are considered simultaneously. The model based framework is proposed to compensate two-channel dropouts. consists of two main aspects: 1) design packets by solving a optimization problem 2) synthesize an efficient transmission compensation mechanism on Transmission Control Protocol. To...
The event-triggered control is a promising solution to cyber-physical systems, such as networked multiagent and large-scale intelligent systems. In this paper, we propose an model predictive (MPC) scheme for constrained continuous-time nonlinear systems with bounded disturbances. First, time-varying tightened state constraint computed achieve robust satisfaction, scheduling strategy designed in the framework of dual-mode MPC. Second, sufficient conditions ensuring feasibility closed-loop...
This note studies the self-triggered MPC problem for constrained discrete-time nonlinear systems. A novel algorithm enabling codesign of triggering and control is proposed, in which communication cost explicitly considered total function, both intervals can be optimally designed. For systems, theoretical conditions on ensuring feasibility closed-loop stability are developed, achieved performance proved to guaranteed. In particular, parameter design approaches satisfying further presented...
This paper studies the model predictive stabilization problem of underactuated autonomous underwater vehicles (AUVs) with control input constraints, where full dynamic and kinematic including Coriolis centripetal matrix, hydrodynamic added mass, damping is utilized, a four-control-input configuration considered. A novel algorithm proposed based on homogeneity system an existing time-varying law. Theoretical results ensuring feasibility closed-loop stability are provided. It shown that if...
The article studies the trajectory tracking control problem of underactuated marine vehicles via nonlinear model predictive (NMPC) strategy, where practical and state constraints present. It is a well-known challenging issue that conventional NMPC not applicable for vehicles, due to fact there does exist local static continuous state-feedback controller stabilize dynamics. To resolve this issue, proposes construct an auxiliary time-varying aid terminal constraint design in framework, borrows...
Occupational heat-related illness (OHI) is a health threat to workers that can be fatal in severe cases. Effective and feasible measures are urgently needed prevent OHI. We evaluated the effectiveness of multifaceted intervention, TEMP, reducing OHI risk among outdoor power grid industry. A cluster randomized controlled trial was conducted with Southern China from 4 July 2022 28 August 2022. Work groups were randomly allocated (1:1) intervention or control groups. The TEMP comprised mobile...
This paper investigates the issue on how to utilize neighbor information in distributed receding horizon control (RHC)-based consensus problem for first-order multiagent systems. The RHC-based is first formulated a general framework terms of using information. Based framework, sufficient condition utilizing ensure developed finite case. For infinite case, necessary and proposed, best way achieve fastest convergence rate also presented. It shown that: 1) plays an important role reaching...
The event-triggered scheduling of network transmissions has found many applications in engineering tasks operated cyber-physical systems for its competitive advantage system resource exploitation. This paper investigates the distributed gradient method large-scale convex constrained problems with consensus protocols. We show that convergence can be ensured provided event-triggering threshold bound is square summable, and stepsize satisfies specific conditions are characterized by Lipschitz...
This article is concerned with the distributed optimal control of multiagent systems (MASs) general linear dynamics. The cooperative tracking model consisting multiple followers and one leader constructed. Distributed controllers are presented using quadratic regulator, which guarantee leader-following consensus MASs optimization global performance index. information topology unneeded for solutions equations. graph a digraph, only requirement that digraph should contain directed spanning...