A5100369037- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Distributed Control Multi-Agent Systems
- Iterative Learning Control Systems
- Robotic Path Planning Algorithms
- Microgrid Control and Optimization
- Neural Networks Stability and Synchronization
- Advanced Algorithms and Applications
- Control and Stability of Dynamical Systems
- Vehicle Dynamics and Control Systems
- Advanced Control Systems Design
- Advanced Memory and Neural Computing
- Traffic control and management
- Advanced Sensor and Control Systems
- Underwater Vehicles and Communication Systems
- Control Systems and Identification
- Industrial Technology and Control Systems
- Guidance and Control Systems
- Advanced Optimization Algorithms Research
- Maritime Navigation and Safety
- Power System Optimization and Stability
- Control and Dynamics of Mobile Robots
- Neural Networks and Applications
- UAV Applications and Optimization
- Frequency Control in Power Systems
Yanshan University
2008-2024
Henan University of Economic and Law
2018-2024
Air Force Engineering University
2024
Liaoning University of Technology
2024
University of Economics and Law
2023
Anhui University of Technology
2022
Institute of Electrical Engineering
2016-2021
Northeast Electric Power University
2021
Urumqi Vocational University
2020
Haier Group (China)
2019
In this paper, an event-triggered integral sliding mode fixed-time control method for trajectory tracking problem of autonomous underwater vehicle (AUV) with disturbance is investigated. Initially, the global fixed time stability ensured conventional periodic sampling reference tracking. By introducing manifold, strategy expressed AUV, which can effectively eliminate singularity. Correspondingly, in order to reduce damage caused by chattering phenomenon, adaptive proposed based on designed...
Abstract This paper mainly solves two major problems that are unavoidable in leader–follower formation process of quadrotor UAV group: the existence external uncertainty disturbance and communication limited between unmanned aerial vehicle (UAV) group. To solve problem only one followers can obtain leader's information, an improved distributed estimator is proposed this paper, which accurately estimate information for each follower. In addition, order to eliminate influence uncertain on...
This paper proposes a novel real-time adaptive under voltage load shedding (UVLS) method by using optimized fuzzy logic controllers to address fault-induced delayed recovery (FIDVR) and short-term instability (STVIS) problems. An intelligent multi-input multi-output controller is developed based on criterion (STVRC). For the controller, magnitude deviation time of trajectory are extracted as inputs, while amount at current stage delay next taken outputs. Particle swarm optimization (PSO)...
Abstract This paper investigates the robust optimal formation control for position subsystem of quadrotor unmanned aerial vehicles (UAVs) subject to external disturbances and collision constraints. To prevent with both members obstacles, a avoidance potential function is constructed using relative velocity information. The basic bounded input can ensure stable flight UAV system. Based on approximate dynamic programming (ADP) framework two‐player zero‐sum differential game theory, controller...
One important objective of urban traffic signal control is to reduce individual delay and improve safety for travelers in both private car public bus transit. To achieve optimization from the perspective all users, this paper proposes a platoon-based adaptive (PASC) strategy provide multimodal based on online connected vehicle (CV) information. By introducing unified phase precedence constraints, PASC not restricted by fixed cycle length offsets. A mixed-integer linear programming (MILP)...
The purpose of this game theory-based trajectory tracking control study driverless cars is to resolve the conflicting problems precision in and drive stability for lane change situations. general plan made. lateral based on theory evolutionary games, linear quadratic regulator (LQR) a method with predictive feedforward. When it comes dynamic systems that vary over time, are both sides same coin. payoff matrix first constructed determine utility function, followed by dynamical replication...
In this paper, the guaranteed cost control problem of singular networked systems are investigated. Suppose that sensor node is time-driven, controller and actuator event-driven, we analyze with short-time delay present model system. We consider design state feedback law to make closed regular, stability satisfy corresponding cost. Using LMI method, give sufficient conditions for existence controller. An example illustrates application proposed method.
The stability for the switched Cohen‐Grossberg neural networks with mixed time delays and α ‐inverse Hölder activation functions is investigated under switching rule average dwell property. By applying multiple Lyapunov‐Krasovskii functional approach linear matrix inequality (LMI) technique, a delay‐dependent sufficient criterion achieved to ensure such be globally exponentially stable in terms of LMIs, exponential decay estimation explicitly developed states too. Two illustrative examples...
The output-feedback controller synthesis issue for a class of continuous-time switched linear systems via average dwell time switching with constrained controls and output is addressed. First, we focus on the stabilisation by decomposing control gain matrix. Second, problem sign-restricted while imposing positivity stability closed-loop system solved, then results extend to asymmetrically bounded outputs. All derived conditions are formulated as programming. Finally, numerical examples given...
The interval exponential state estimation and robust stability for the switched neural networks with discrete distributed time delays are considered. Firstly, by combining theories of systems networks, mathematical model error system established. Secondly, applying augmented Lyapunov‐Krasovskii functional approach available output measurements, dynamics is proved to be globally exponentially stable all admissible delays. Both existence conditions explicit characterization desired estimator...
This paper proposed a consensus problem for nonlinear multi-agent systems (MAS) with logarithmic quantization and arbitrary initial states. By introducing the quantization, digital communication between signals is realized requirement of utilizing channel more effective also achieved. In order to eliminate state errors introduced by assumption any value every agent avoid complexity common method initial-state learning, new control inputs compensationvia iterative learning (ILC) in this...
On the basis of introducing sum squares (SOS) optimization method and its classical control application, this paper introduces estimation domain attraction autonomous nonlinear systems which can be considered as a new development in application. At same time, we study class SIRS infection model, get result domains model with SOSTOOL toolbox. It is bigger than using randomly selected Lyapunov function LMI approach.