- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
- Adaptive Control of Nonlinear Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
- Smart Grid Security and Resilience
- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Vehicular Ad Hoc Networks (VANETs)
- Network Security and Intrusion Detection
- Advanced Algorithms and Applications
- Target Tracking and Data Fusion in Sensor Networks
- Hydraulic and Pneumatic Systems
- Anomaly Detection Techniques and Applications
- Traffic control and management
- Fuzzy Logic and Control Systems
- Autonomous Vehicle Technology and Safety
- Numerical methods for differential equations
- Vehicle Dynamics and Control Systems
- Industrial Technology and Control Systems
- Smart Grid and Power Systems
- Advanced Differential Equations and Dynamical Systems
- Technology and Security Systems
- Network Time Synchronization Technologies
- Advanced Control Systems Design
Suzhou University of Science and Technology
2015-2025
Korea University
2024
Inner Mongolia Electric Power (China)
2021
Henan Polytechnic University
2017-2019
Nanjing University of Aeronautics and Astronautics
2018-2019
Tongji University
2015-2018
Hebei University of Technology
2006
This paper is devoted to solve the problems on simultaneous actuator and sensor fault estimations as well nonfragile fault-tolerant control (FTC) for a kind of Markovian jump systems with faults disturbances. First, considered system converted an augmented by putting into new state. Then, adaptive observer designed descriptor adjusted law. Based estimated faults, output-feedback-based FTC strategy proposed stabilize closed-loop against disturbances, while showing robustness gain...
This correspondence paper is concerned with observer design problems for a class of unknown input switched descriptor systems under average dwell time switching signals. The system consideration first transformed into general linear system, and then reduced-order that can asymptotically estimate the state without suffering influence from inputs developed. Besides, high-order sliding mode introduced to obtain estimations output derivatives by using measured outputs. On basis states...
Local nonlinear fuzzy systems are useful for control solutions due to their ability handle unmeasurable/inexact premise variables and reduce computational complexity. However, estimation problems still require further development. This article addresses this issue by investigating set-membership a class of discrete-time local uncertain Takagi–Sugeno with guaranteed performance. We propose new observer architecture that solves partially decouplable unknown inputs converts error dynamics into...
This paper investigates the problems of residual-based actuator fault detection based on observer design for a class uncertain linear systems. First, reduced-order observer, which can estimate original system states asymptotically when does not suffer from faults, is designed. Second, an auxiliary with both disturbances and faults constructed its corresponding autonomous actually asymptotical stable system. Third, system, interval robust to but sensitive in sense estimation, developed....
In this paper, the problems of interval observer design for discrete-time switched system are investigated. order to make residual stable and non-negative, a time-varying linear transformation standard stability analysis used. Based on these, an is constructed. A simulation example given illustrate effectiveness correctness proposed method.
Considering disturbances, noise, and sensor faults, this article investigates interval estimation for discrete-time Takagi–Sugeno fuzzy systems. To obtain precise results attenuate disturbances noise in the system simultaneously, we integrate robust observers based on <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ H_{\infty }$</tex-math></inline-formula> technique reachability analysis. Two novel observer...
This paper investigates the event-triggered fixed-time multi-lane fusion control for vehicle platoon systems with distance keeping constraints where vehicles are spread in multiple lanes. To realize of different lanes, firstly constructed respect to a two-dimensional (2-D) plane. In case collision and loss effective communication, each guaranteed by barrier function-based strategy. contrast existing results regarding command filter techniques, proposed controller can constrain tracking error...
This paper presents an actuator fault detection and interval reconstruction scheme based on observers for systems with both faults disturbances. To begin with, two full-order which are sensitive to designed achieve the goal of detection. Then, reduced-order constructed, they robust in that observer constructions fulfilled without using boundary information faults. An method is developed observers. Finally, validities proposed methods verified by a numerical simulation example.
This paper studies the problem of sensor fault interval estimation for discrete-time linear system with unknown but bounded disturbances and noises. A descriptor which is equivalent to original constructed by considering as an auxiliary state vector. Based on augmented system, a zonotopic Kalman filter designed obtain fault. To improve accuracy, we further propose Frobenius norm minimisation method design gain matrix filter. Finally, numerical simulations quadruple-tank are given illustrate...
This paper presents a novel frequency-domain approach to reveal the exact range of imaginary spectra and stability linear time-invariant systems with two delays. First, an relation, i.e., Rekasius substitution, is used replace exponential term caused by delays in order transform transcendental characteristic equation quasi-polynomial. Second, this quasi-polynomial uniquely tackled our proposed Dixon resultant discriminant theory, leading elimination delay-related elements revelation...
Fault diagnosis is a challenging topic for complex industrial systems due to the varying environments such find themselves in. In order improve performance of fault diagnosis, this study designs novel approach by using particle swarm optimization (PSO) with wavelet mutation and least square support (LSSVM). The implementation entails following three steps. Firstly, original signals are decomposed through an orthogonal packet decomposition algorithm. Secondly, reconstructed obtain features....