A5100420354- Stability and Control of Uncertain Systems
- Neural Networks Stability and Synchronization
- Control Systems and Identification
- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Stability and Controllability of Differential Equations
- Control and Stability of Dynamical Systems
- Industrial Technology and Control Systems
- Simulation and Modeling Applications
- Fuzzy Systems and Optimization
- Elasticity and Wave Propagation
- Smart Grid Security and Resilience
- Civil and Geotechnical Engineering Research
- Fuzzy Logic and Control Systems
- Advanced Control Systems Design
- Matrix Theory and Algorithms
- Network Security and Intrusion Detection
- Aerospace Engineering and Control Systems
- Frequency Control in Power Systems
- Advanced Sensor and Control Systems
- Power Systems and Technologies
- Security in Wireless Sensor Networks
- Advanced Research in Science and Engineering
- Vehicle Dynamics and Control Systems
Nanjing University of Aeronautics and Astronautics
2014-2025
University of Hong Kong
2011-2014
North China Electric Power University
2011
East China University of Science and Technology
2011
Harbin Institute of Technology
2009
Heilongjiang Institute of Technology
2009
Beijing Institute of Petrochemical Technology
2009
In this paper, we address the positive filtering problem for continuous-time systems under L1-induced performance. A pair of filters with error-bounding feature is proposed to estimate output systems. novel characterisation first obtained ensure that error system asymptotically stable a prescribed Then, necessary and sufficient conditions existence required are presented, results expressed in terms linear programming problems, which can be easily checked by standard software. Finally,...
This paper investigates the problem of stability analysis and stabilization for two-dimensional (2-D) discrete fuzzy systems. The 2-D system model is established based on Fornasini–Marchesini local state-space model, a control design procedure proposed relaxed approach in which basis-dependent Lyapunov functions are used. First, nonquadratic conditions derived by means linear matrix inequality (LMI) technique. Then, introducing an additional instrumental variable, systems addressed, with LMI...
In this paper, the problem of ℓ1-induced controller design for positive Takagi-Sugeno (T-S) fuzzy systems is investigated with use linear Lyapunov function. A novel performance characterisation first established to guarantee asymptotic stability closed-loop system performance. Moreover, sufficient conditions are presented required controllers and iterative convex optimisation approaches developed solve conditions. Finally, two examples show effectiveness derived theoretical results.
Summary This article presents a descriptor observer design approach for positive Markov jump linear systems subject to interval parameter uncertainties and sensor faults. First, by taking the fault term as an auxiliary state, augmented system is constructed. A pair of observers with state‐bounding feature then proposed, which enables simultaneous estimation state necessary sufficient condition on existence desired derived considering positivity robust mean exponential stability corresponding...
In this paper, we investigate the problem of controller design for positive systems with use linear Lyapunov function. We first present an analytical method to compute exact value l <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> -induced norm. Then, propose a novel characterization under which discrete system is asymptotically stable prescribed performance. Based on characterization, necessary and sufficient condition existence desired...
In this study, the problem of positive filtering is investigated for two‐dimensional (2D) Roesser T–S fuzzy systems under ‐induced performance. Error‐bounding filters are constructed to estimate output 2D systems. Firstly, a novel characterisation asymptotic stability error system with performance derived. Then, based on that characterisation, sufficient conditions derived design required expressed by linear programming problems. Finally, theoretical results illustrated through numerical example.
This paper investigates the ℓ1-induced positive observer design problem for uncertain systems. First, we present performance indicator systems, which fits well into linear Lyapunov function. Then, a novel characterization is developed Furthermore, programming–based method proposed to solve synthesis systems with interval uncertainties. A pair of state-bounding observers designed estimate state Finally, provide numerical example demonstrate validity and efficiency derived methods.
This paper proposes an event-triggered H−/L∞ fault detection observer (FDO) design method for discrete-time Lipschitz nonlinear networked control systems (NCSs) in finite-frequency domain. First, a discrete transmission scheme is proposed to mitigate the utility of limited network bandwidth. Second, with aid reformulated property, error dynamics are converted into linear parameter varying (LPV) system model. Third, based on this model, H_/L∞ index used measure worst-case sensitivity...