- Neural Networks Stability and Synchronization
- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Neural Networks and Applications
- Advanced Memory and Neural Computing
- Adaptive Dynamic Programming Control
- Maritime Navigation and Safety
- Industrial Vision Systems and Defect Detection
- Industrial Technology and Control Systems
- Matrix Theory and Algorithms
- Building Energy and Comfort Optimization
- Advanced DC-DC Converters
- Fuzzy Logic and Control Systems
- Elasticity and Wave Propagation
- Machine Fault Diagnosis Techniques
- Advanced Control Systems Optimization
- Advanced Sensor and Control Systems
- Energy Efficiency and Management
- Real-time simulation and control systems
- Smart Grid Energy Management
- Advanced Thermodynamics and Statistical Mechanics
- Machine Learning and ELM
- AI and Multimedia in Education
- Anomaly Detection Techniques and Applications
- Safety and Risk Management
Dalian University of Technology
2013-2025
China Tobacco
2024
Taiyuan Heavy Industry (China)
2024
Shanghai Electric (China)
2022
Ibaraki University
2013
Lanzhou University of Technology
2008
This paper investigates the event-triggered trajectory tracking control for unmanned surface vessels with prescribed performance subjected to asymmetric time-varying state constraints. In order realize prescribed-time task, a function is introduced and fuzzy logic systems are adopted estimate unknown nonlinearities of USVs model. Subsequently, flexible mechanism designed minimize wastage communication resource, taking into account continuous updating actual input. A practical virtual signal...
This note solves an open problem raised by Zeeman in [Nonlinearity, 1 (1988), pp. 115–155]. It extends his results about the stability of a dynamical system from $C^\infty $-vector fields to $C^m fields, where $1 \leq m \infty $. For any field v, existence, uniqueness, and global attraction steady state Fokker–Planck equation $C^{m - 1} $ space is proved. The states are used as tool classify vector fields. density stable also
This article is concerned with adaptive fuzzy control design of nonlinear strict-feedback systems, in which system functions are unknown and states subjected to some constant constraints. The main issue an controller such that the output follows reference signal, meanwhile, all state variables abide by their constrained requirements. Differing from existing way build barrier function, constructed virtual signal employed function. Furthermore, a backstepping-based process presented this...
It is known that a controller designed via backstepping contains all virtual control signals constructed at the previous design steps. When this used to generate an event-triggered signal which discontinuous, those are simultaneously triggered and corresponding utilized for real operation, they also discontinuous. This fact results in noncontinuity of error dynamics. problem ignored existing backstepping-based schemes, stability analysis implemented according continuous dynamics, namely,...
This paper investigates the problem of adaptive fuzzy tracking control for a class switched uncertain nonlinear systems with unstable inverse dynamics via time-dependent switching. Adaptive backstepping technique and fast average dwell time switching are exploited to set up scheme under consideration. It is shown that designed controllers signals can ensure all remain bounded error converges small neighborhood origin. Finally, simulation results presented demonstrate effectiveness proposed...
This paper focuses on the stability analysis of generalized neural networks with time-varying delays. First, a novel augmented Lyapunov-Krasovskii functional (LKF) is constructed by introducing couple integral vectors. Second, utilizing LKF and free-weighting-matrix inequality, two further criteria are presented in this paper. Third, less conservative condition refining allowable delay set introduced. Finally, four well-known numerical examples given to demonstrate effectiveness improvements...
If a control input signal constructed by backstepping is used to generate an event-triggered signal, then not only the real discontinuous, but all virtual signals that make up are also discontinuous and have same triggering instants with input. This fact makes design stability analysis more difficult complex via backstepping. article focuses on this problem works at coming new procedure of fuzzy adaptive for nonlinear strict feedback systems. A concurrent mechanism proposed ensure instants....
In this paper, the stability problem of delayed neural networks is investigated by adopting some switching methods. First, delay interval divided into many smaller variable intervals, and when regarded as a mode delay, are modeled switched systems. Then, using methods, less conservative criteria derived to ensure networks. Finally, one example provided show effectiveness obtained criteria.
Time delay has always been one of the main factors affecting application performance neural network (NN) systems, and dynamic research NNs with time delays focus many scholars in recent years. This article enquires into exponentially synchronous problem switched delayed leakage term. Adopting an unusual form from a common system, switching modes system this are dependent on delays. In first place, master, slave, error models reconstructed by introducing idea. Then help admissible...
The paper firstly analyzed the navigation system, including vessels, single-fairway, berths, and anchorage et al. Then, a port operation simulation model was established by Arena considering characteristics of vessel navigation, production coastal bulk cargo area. Besides, in order to study fairway capacity, days service level were taken into account as control variables model. Finally, calculation formula obtained calculate capacity under diverse days. results showed that it would be more...
ABSTRACT This paper investigates the problem of asymptotic stability for neutral delay‐differential systems. Using Lyapunov method, we derive a new delay‐dependent sufficient condition systems in terms linear matrix inequality (LMI). Numerical examples show that results obtained this significantly improve estimate limit over some existing reported previously literature.
This paper investigates tracking control of nonlinear systems in state-triggering setting. Since the trigger mechanism may result system states being discontinuous throughout whole operation, controller design process and stability analysis algorithms based on conventional backstepping are not applicable for such due to non-differentiability virtual control. To tackle this dilemma, first-order filter is introduced smooth Nonlinear impulse dynamics technique adopted verify boundedness error...