A5022118466- Adaptive Dynamic Programming Control
- Adaptive Control of Nonlinear Systems
- Reinforcement Learning in Robotics
- Frequency Control in Power Systems
- Mechanical Circulatory Support Devices
- Neural Networks Stability and Synchronization
- Stability and Control of Uncertain Systems
- Viral Infections and Vectors
- Distributed Control Multi-Agent Systems
- EFL/ESL Teaching and Learning
- Lexicography and Language Studies
- Fault Detection and Control Systems
- Educational Technology and Assessment
- Advanced Vision and Imaging
- Stability and Controllability of Differential Equations
- Polymer composites and self-healing
- Polydiacetylene-based materials and applications
- Elevator Systems and Control
- Education, Innovation and Language Studies
- linguistics and terminology studies
- Second Language Acquisition and Learning
- Energy Load and Power Forecasting
- Natural Language Processing Techniques
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
Shenyang University of Technology
2022-2024
Northeastern University
2017-2022
Beijing Institute of Technology
2014-2015
Shenyang Aerospace University
2015
Yulin Normal University
2002-2013
Jiangyin Traffic Planning Survey & Design Institute (China)
2007-2011
Zhaoqing University
2009
Laboratoire d’Électronique, Informatique et Image
2005
This article presents a novel event-driven guaranteed cost control method for nonlinear systems subject to actuator faults. For the purpose of handling problem faults and obtaining approximate optimal approach general dynamics, reinforcement learning (RL) algorithm is utilized develop sliding-mode (SMC) strategy. To begin with, unknown can be estimated by designing fault observer. Meanwhile, an SMC technique presented aiming at countering effect abrupt In addition, performance equivalent...
This article focuses on the problem of adaptive bipartite output tracking for a class heterogeneous linear multiagent systems (MASs) by asynchronous edge-event-triggered communications under jointly connected signed topologies. By designing observers to estimate states followers and dynamic compensators zero input nonzero leader, respectively, fully distributed control protocol is presented. Moreover, it proven that implemented, do not exhibit Zeno behavior strategy with mechanisms. Compared...
As a special type of business text, the annual report has an important function presenting development company and is basis for planning company’s in coming year. In this paper, COSCO Shipping Maersk’s reports were selected as research objects, self-constructed corpus was built to compare analyse their high-frequency words, lexical density sophistication. The results found that: (1) words used Maersk are generally similar, with differences word frequency individual words. (2) Shipping’s...
Supervoxels have been widely used as a preprocessing step to exploit object boundaries improve the performance of video processing tasks. However, most traditional supervoxel algorithms do not perform well in regions with complex textures or weak boundaries. These methods may generate supervoxels overlapping In this paper, we present novel generation algorithm using partially absorbing random walks get more accurate these regions. Our spatial-temporal framework is introduced by making full...
This paper studies the mixed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$H_{2}/H_{\infty} $ </tex-math></inline-formula> control problem for nonlinear closed-loop Stackelberg games via adaptive dynamic programming (ADP) technology. Firstly, by constructing a cost function with Lagrange multiplier, hierarchical game is transformed into coupled Hamilton-Jacobi-Isaacs (HJI) equations problem. In second...
In this article, an integral reinforcement learning (IRL)-based event-triggered guarantee cost control (GCC) approach is proposed for stochastic systems which are modulated by randomly time-varying parameters. First, with the aid of RL algorithm, optimal GCC (OGCC) problem converted into zero-sum game solving a modified Hamilton-Jacobin-Isaac (HJI) equation auxiliary system. Moreover, in order to address game, we propose on-policy IRL-based involved multivariate probabilistic collocation...
Summary In this article, a novel neural network (NN) optimal control approach using adaptive critic designs is developed for nonlinear discrete‐time (DT) systems with time delays. First, to eliminate the delay term of input, time‐delay matrix function by designing M network. Furthermore, cost approximated NN, and signal can be obtained directly information NN according equilibrium condition. addition, shorten learning reduce computational burden in process, strategy less adjustable...
In this paper we investigate the fault estimation problem against local unknown nonlinear dynamics, sensor and actuator faults for a class of Takagi–Sugeno (T-S) fuzzy systems. addition, exogenous disturbances measurement noise are considered, which presented in operation systems various independent A novel double-level observer is designed to estimate system states faults. Compared with current research results, proposed has wider range application. By designing augmented Kalman filter as...
Mixed zero-sum games consider both and non-zero-sum differential game problems simultaneously. In this paper, multiplayer mixed (MZSGs) are studied by the means of an integral reinforcement learning (IRL) algorithm under dynamic event-triggered control (DETC) mechanism for completely unknown nonlinear systems. Firstly, adaptive programming (ADP)-based on-policy approach is proposed solving MZSG problem system with multiple players. Secondly, to avoid using information system, a model-free...