- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Fault Detection and Control Systems
- Control and Dynamics of Mobile Robots
- Fuzzy Systems and Optimization
- Iterative Learning Control Systems
- Robotic Path Planning Algorithms
- Advanced Algorithms and Applications
- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Network Security and Intrusion Detection
- Adaptive Dynamic Programming Control
- Glioma Diagnosis and Treatment
- Military Defense Systems Analysis
- Smart Grid Security and Resilience
- Epigenetics and DNA Methylation
- Hydraulic and Pneumatic Systems
- Infrastructure Resilience and Vulnerability Analysis
- Aerospace Engineering and Energy Systems
- Underwater Vehicles and Communication Systems
- Advanced Vision and Imaging
- Vehicle Dynamics and Control Systems
- Guidance and Control Systems
Nantong University
2020-2024
Soochow University
2023
Shenyang Institute of Automation
2021
Northeastern University
2018-2019
State Key Laboratory of Synthetical Automation for Process Industries
2018-2019
Bohai University
2013-2015
This paper is concerned with the problems of state and output feedback control for interval type-2 (IT2) fuzzy systems mismatched membership functions. The IT2 model controllers do not share same A novel performance index, which expressed as an extended dissipativity performance, introduced to be a generalization H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> , L xmlns:xlink="http://www.w3.org/1999/xlink">2-</sub> passive,...
Immunotherapy for glioblastoma multiforme (GBM) is limited because of a strongly immunosuppressive tumor microenvironment (TME). Remodeling the immune TME an effective strategy to eliminate GBM immunotherapy resistance. Glioma stem cells (GSCs) are inherently resistant chemotherapy and radiotherapy involved in evasion mechanism. This study aimed investigate effects histone methyltransferases 2 (EHMT2 or G9a) on whether this effect was related changes cell stemness.Tumor-infiltrating were...
This paper is concerned with the sliding mode control of nonlinear singular systems in terms interval type-2 (IT2) fuzzy model. To better approximate systems, modeling errors are considered IT2 The uncertainties membership functions expressed based on their boundedness. Admissibility conditions obtained via a linear matrix inequalities approach. A new reaching law-based controller presented by choosing typical surface to analyze motion, such that all input gains allowed be different and...
This paper investigates the problem of adaptive H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> sliding mode control (SMC) for a class nonlinear systems via Takagi-Sugeno (T-S) fuzzy model approach. The input matrices and output in all local linear are different. A novel observer is designed to estimate unmeasured states. Based on such an observer, only appeared T-S singular system error system. new integral surface put forward match...
The distributed optimization problem (DOP) of Takagi-Sugeno (T-S) fuzzy cyber-physical systems is studied under the framework weight-balanced graphs and quasistrongly connected characteristics. objective to drive outputs all agents optimal solution a given global function regarded as desired output, based on partial information local functions. To this end, coordinators (DOCs) are used generate solutions functions that converge reference-tracking controllers designed ensure can track...
This article investigates stochastic stability of positive singular Markovian jump systems (PSMJSs) with mode-dependent derivative-term coefficient. Different from the existing results, condition on PSMJSs associated state jumps behavior at switching instants is given by means linear co-positive Lyapunuov function. On basis it, conditions under cases partially known transition rates and uncertain have been presented, respectively. All obtained can be solved programming (LP) technique....
This paper investigates the problem of sliding mode controller design for a class T-S fuzzy singular systems (TSFSSs) with partly immeasurable premise variables. By analyzing different cases variables, novel state-feedback, and static output-feedback-based controllers methods are first developed. The information measurable variables in TSFSS is utilized to controllers. Attention focused on solving related time system states. Further, based new control (SMC) methods, some convex conditions...
This paper concerns the problem of dynamic output-feedback control for a class nonlinear systems with nonuniform uncertain sampling via Takagi-Sugeno (T-S) fuzzy approach. The is not required to be periodic, and state variables are measurable. A new type sampled-data controller constructed, novel time-dependent Lyapunov-Krasovskii functional chosen under variable sampling. By using Lyapunov stability theory, sufficient condition very-strict passive analysis derived. Based on this condition,...
This article is focused on security analysis and control problems of cyber–physical systems (CPSs) under Denial-of-Service (DoS) attacks, which jam the controller-actuator channel. Considering limited attack energy malicious adversaries, DoS attacks are described by a periodic model. Different from existing results, both secure controller design addressed based characteristics model rather than utilizing switching system theory to solve aforementioned problems. First, sufficient conditions...
This paper studies the problem of H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filtering for Takagi-Sugeno (T-S) fuzzy delta operator system with time-varying delay. The delay is handled by input-output approach. Then a new transformed model represented error performance index. By applying Lyapunov stability theory and scaled small gain theorem, criterion asymptotic proposed derived. Based on criterion, filter designed, which can be...
This paper investigated the adaptive sliding mode control problem for T-S fuzzy descriptor systems with different input matrices. The specific information of bound nonlinear term is unknown in controller design process. Our attention mainly focused on designing such a descriptor. Firstly, model-based surface constructed to match characteristic Secondly, an designed based adapt upper matched nonlinearity. Some admissibility conditions can be obtained. Finally, numerical example given...
Abstract The point of this article is the sensor fault estimation and fault‐tolerant controller design for IT2 fuzzy systems via sliding mode approach. In order to estimate accurately system states faults, a novel proportional derivative observer introduced, which provide more freedom eliminate effects faults. By splitting operating domain estimating membership functions, set relaxation stability conditions subject information functions are obtained. Then, in form model designed stabilize...
This paper investigates the problem of H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> filter design for a class nonlinear systems. Attention is focused on solving fuzzy designed interval type-2 (IT2) By using Lyapunov stability theory, an IT2 such that filtering error system asymptotically stable with prescribed performance levels. The existence condition expressed as convex optimization and parameters in can be solved by standard...
This paper is concerned with the problem of output feedback controller design for interval type-2 (IT2) fuzzy systems mismatch membership functions. The IT2 system and do not share same function. Firstly, Takagi-Sugeno (T-S) model are constructed by considering Secondly, based on Lyapunov stability theory, designed to guarantee closed-loop asymptotically stable H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">∞</sub> performance. existence...
For the constrained mobile robot automatic parking system, hybrid model predictive control with a penalty factor based on image-based visual servoing (IBVS) is proposed to address problem of feature point loss and emergency braking in dynamic obstacle scenarios caused by excessive target bias gain when using traditional IBVS methods. The transformed into an optimization constraints finite time domain, defining function robot’s positional deviation image deviation, while actuator saturation...
This paper investigates the robust adaptive optimal control problem for linear systems in presence of matching uncertainties. A nominal controller utilizing Q-Iearning algorithm is designed system without Introducing a disturbance observer serves purpose actively estimating uncertainties, enabling proactive compensation The analysis closed-loop system's stability under conducted, presenting sufficient conditions to ensure its stability. Finally, validated using two-wheeled mobile robot as...