A5101554354- Adaptive Control of Nonlinear Systems
- Stability and Control of Uncertain Systems
- Advanced Algorithms and Applications
- Neural Networks Stability and Synchronization
- Power Transformer Diagnostics and Insulation
- Advanced DC-DC Converters
- Space Satellite Systems and Control
- Control and Stability of Dynamical Systems
- Multilevel Inverters and Converters
- Distributed Control Multi-Agent Systems
- Data Management and Algorithms
- Stability and Controllability of Differential Equations
- Reliability and Maintenance Optimization
- Parallel Computing and Optimization Techniques
- Advanced Sensor and Control Systems
- Currency Recognition and Detection
- Simulation Techniques and Applications
- Numerical methods for differential equations
- Facility Location and Emergency Management
- Electric Vehicles and Infrastructure
- Spacecraft Dynamics and Control
- Cryptography and Data Security
- Underwater Vehicles and Communication Systems
- Environmental Impact and Sustainability
- Power System Reliability and Maintenance
Hohai University
2016-2024
Shandong University
2023
Shenyang Aerospace University
2021
Jilin University
2017
<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> -gain control design is investigated in the brief for positive two-dimensional (2D) continuous delayed systems form of Roesser models. A new approach based on 2D Laplace transformation presented to analyze stability performance. By using method singular value decomposition, linear programming effectively solved controller...
In this paper, a new RBF based sliding mode controller is proposed for the joint trajectory tracking of robotic manipulators with uncertainties and disturbances. A neural network employed to approximate nonlinear in mode, adaptive laws parameters are established, approximation error compensated by designing controller, which generalized factor introduced. As result, chattering eliminated performance improved. The stability closed-loop system asymptotic convergence guaranteed on Lyapunov...
One of the main recent challenges that face power system utilities is managing risk associated with component aging. To effectively quantify and analyze this risk, paper proposed a novel reliability evaluation framework can accurately integrate non-repairable aging failures in analysis. First, sophisticated model for was established based on 3-parameter Weibull distribution. Subsequently, calculation method unavailability due to developed using discretization approach, generating state...
As an important category of skyline queries, the groups query has drawn growing interest from academic communities. For taking benefit cost savings, data owners are motivated to outsource storage and processing public cloud offload massive management. However, direct outsourcing may raise severe privacy issues. In this paper, we define study secure problem, propose methods. To address first Basic Secure Skyline Groups Query (BSSGQ) method find on encrypted data. BSSGQ method, candidate their...
This paper applies fuzzy clustering algorithm to recognize the transformer winding's pressed state based on transformer's vibration signal. We propose a new semi-supervised kernel (SFKC) some modifications for methods. The first modification is that uses prior knowledge guide process. Second, it function map samples high dimensional feature space clustering. Third, dynamic weight of carried out considering different effects sample features. accuracy and reliability proposed are verified by...
Information disclosure is an important prerequisite and guarantee for the government to answer public health incidents in a timely manner, also basic requirement management of emergencies. Evaluating information on conducive improving quality emergency comprehensively enhancing treatment ability incidents. In response complex uncertainties assessment incidents, this paper proposes new fuzzy multi-attribute evaluation method. First, system emergencies proposed. Then, novel approach proposed...
This paper investigates the fault-tolerant control (FTC) problem of micro-nano satellite cluster (MNSC) orbit-attitude cooperative system. The nonlinear system model for MNSC with actuator faults and input saturation is given, which represents dynamic characteristics satellites. proposed approach deals bias fault partial loss effectiveness. A novel adaptive surface controller designed based on a radial basis function (RBF) neural network, utilized to approximate coupling torque orbital...
This paper investigates the time-varying formation (TVF) control problem of micro-nano satellite cluster (MNSC) system with input saturation and unknown signals neighboring nodes. An adaptive low-gain strategy event-triggered mechanism is proposed to form predefined TVF exclude Zeno behavior. Satellite transmits status information its neighbors at a specific time, which effectively avoids continuous intersatellite communication reduces energy consumption system. Considering global topology...
In this paper, the <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$L_{1}$</tex> -stochastic stability and -gain analysis of 2D positive Markov jump systems (PMJSs) are studied based on Roesser model. Firstly, mathematical model PMJS is established, sufficient necessary conditions (NSCs) -stability calculation given. Furthermore, a state feedback controller designed to ensure that system with predetermined performance level. Finally, numerical...