Bin Yang

ORCID: 0000-0001-9942-8215
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About
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Research Areas
  • 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...

10.1109/tfuzz.2025.3525701 article EN IEEE Transactions on Fuzzy Systems 2025-01-01

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

10.1137/s0036141092238321 article EN SIAM Journal on Mathematical Analysis 1995-03-01

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...

10.1109/tfuzz.2022.3177247 article EN IEEE Transactions on Fuzzy Systems 2022-05-23

10.1016/j.engappai.2024.109171 article EN cc-by Engineering Applications of Artificial Intelligence 2024-09-11

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,...

10.1109/tfuzz.2023.3235431 article EN IEEE Transactions on Fuzzy Systems 2023-01-16

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...

10.1109/tfuzz.2017.2692200 article EN IEEE Transactions on Fuzzy Systems 2017-04-07

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...

10.1109/access.2019.2925912 article EN cc-by IEEE Access 2019-01-01

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....

10.1109/tcyb.2022.3220754 article EN IEEE Transactions on Cybernetics 2022-11-24

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.

10.1109/tsmc.2017.2782233 article EN IEEE Transactions on Systems Man and Cybernetics Systems 2018-01-18

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...

10.1109/tnnls.2022.3196402 article EN IEEE Transactions on Neural Networks and Learning Systems 2022-08-19

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...

10.1109/soli.2013.6611427 article EN 2013-07-01

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.

10.1111/j.1934-6093.2003.tb00137.x article EN Asian Journal of Control 2003-09-01

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...

10.1109/tase.2024.3374960 article EN IEEE Transactions on Automation Science and Engineering 2024-01-01
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