- Advanced Manufacturing and Logistics Optimization
- Adaptive Control of Nonlinear Systems
- Control and Dynamics of Mobile Robots
- Scheduling and Optimization Algorithms
- Manufacturing Process and Optimization
- Distributed Control Multi-Agent Systems
- Robotic Path Planning Algorithms
- Advanced Control Systems Optimization
- Neural Networks Stability and Synchronization
- Quantum chaos and dynamical systems
- Belt Conveyor Systems Engineering
- Adaptive Dynamic Programming Control
- Welding Techniques and Residual Stresses
- Metaheuristic Optimization Algorithms Research
- Heat Transfer and Optimization
- Chaos control and synchronization
- Assembly Line Balancing Optimization
- Optimization and Search Problems
- Soft Robotics and Applications
- Guidance and Control Systems
- Advanced Multi-Objective Optimization Algorithms
East China University of Science and Technology
2022-2024
Sichuan Agricultural University
2017-2020
Automatic welding system is ideally suited for high-volume production of modern manufacturing. The optimization workpiece mass manufacturing processes on assembly lines a significant practice in the automotive industry to improve efficiency. Considering highly coupled characteristics multiple sub-problems (including task allocation, robot assignment, sequence planning, and dual-function scheduling) as well numerous constraints workpieces line configuration, new unified model multi-station...
Abstract In this paper, an adaptive robust stabilization problem is dealt with for a class of uncertain strict‐feedback nonlinear systems in the presence unknown structure uncertainties, external disturbances, and time‐varying virtual control coefficients. It not required to know upper bounds as well lower The controller designed by adopting backstepping. addition, avoid suffering from ‘explosion terms’, dynamic surface approach employed introducing first‐order low‐pass filter. Furthermore,...
This paper proposes an adaptive tracking control design procedure for a class of uncertain, strict‐feedback, nonlinear systems in the presence unknown structure uncertainties, external disturbances, and directions. To stabilize systems, fuzzy logic are utilized to approximate weight matrices upper bounds approximation errors not supposed be known priori. Then, avoid problem ‘explosion terms’, dynamic surface approach is employed by introducing first‐order low‐pass filter. Furthermore, issue...
Aiming at the path tracking problem of wheeled mobile robot with parameter uncertainties and external disturbances, control scheme combining backstepping technique, Nussbaum function projection operator is proposed. By utilizing function, unknown coefficient dealt in controller design. In order to ensure boundedness estimation, introduced our scheme. Based up on Lyapunov stability closed-loop system analysed. Finally, two simulations are given show validity proposed
This brief focuses on the problem of trajectory tracking control omnidirectional mobile robot with unknown external disturbances. It is assumed that derivative disturbances bounded. The scheme divided into two parts. In first part, are estimated by disturbance observer. Furthermore, feasibility observer demonstrated. second we propose controller. Based up Lyapunov function, stability closed-loop system analysed. Finally, simulations given to show validity results.
In this paper, an adaptive dynamic surface control algorithm is developed to simultaneously solve the problem of stabilization and tracking for wheeled mobile robot with uncertain parameters external disturbances. For kinematic model, virtual controllers are deigned achieve asymptotic tracking. fuzzy logic systems used approximate unknown nonlinear functions. Furthermore, adaptation laws utilized estimate including upper bounds disturbances, as well approximation errors norms optimal weight...
This paper focuses on the problem of adaptive robust output tracking for delayed chaotic systems with sector nonlinearity in input function. Based Lyapuvov-Krasovskii function, an controller is proposed. It also shown that proposed feedback can guarantee error between state x(t) and delay x(t - τ) uniformly ultimately bounded. Finally, a Chua's circuit given to illustrate validity control scheme.
In this paper, the problem of adaptive robust model tracking for nonlinear dynamical systems with parameter uncertainties and unmatched disturbances is studied. It assumed that bounds are unknown. For reference model, a kind controller proposed. The uniform ultimate boundedness error between state x(t) xr(t) can be guaranteed by proposed in presence disturbances. Finally, numerical example provided to illustrate effectiveness control scheme.