A5052687577- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Iterative Learning Control Systems
- Control Systems and Identification
- Advanced Control Systems Optimization
- Stability and Control of Uncertain Systems
- Hydraulic and Pneumatic Systems
- Neural Networks Stability and Synchronization
- Adaptive Dynamic Programming Control
- Advanced Surface Polishing Techniques
- Machine Fault Diagnosis Techniques
- Piezoelectric Actuators and Control
- Stability and Controllability of Differential Equations
- Robotic Mechanisms and Dynamics
- Gear and Bearing Dynamics Analysis
- Advanced machining processes and optimization
- Advanced Control Systems Design
- Distributed Control Multi-Agent Systems
- Vehicle Dynamics and Control Systems
- Fuzzy Logic and Control Systems
- Mechanical Circulatory Support Devices
- Advanced Data Processing Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Reinforcement Learning in Robotics
- Advanced Memory and Neural Computing
University of Kragujevac
2015-2025
Jiangnan University
2023
Northeastern University
2023
Anhui University
2023
Henan University of Science and Technology
2023
Grenoble Images Parole Signal Automatique
2021-2022
Institut National Polytechnique de Toulouse
2022
Université Grenoble Alpes
2021-2022
Institut polytechnique de Grenoble
2021-2022
Centre National de la Recherche Scientifique
2021-2022
Based on the interval type-2 fuzzy (IT2F) approach, this article investigates fault detection filter design problem for a class of nonhomogeneous higher level Markov jump systems with uncertain transition probabilities. Considering that mode information system cannot be obtained synchronously by filter, hidden model can seen as detector to handle asynchronous problem, and parameter uncertainty processed IT2F approach lower upper membership functions. Then, is designed deal problem....
In practical applications of iterative learning control (ILC), the repetitive process may end up early by accident during performance improvement along trial axis, which yields nonuniform length problem. For such systems, input signals are usually constrained because some certain physical limitations. This article proposes an optimal ILC algorithm for linear time-invariant multiple-input–multiple-output (MIMO) systems with lengths under constraints. The framework is specifically modified...
This article addresses the design issue of fuzzy asynchronous fault detection filter (FAFDF) for a class nonlinear Markov jump systems by an event-triggered (ET) scheme. The ET scheme can be applied to cut down transmission times from system FAFDF. It is assumed that modes cannot obtained synchronously filter, and instead, there detector measure estimated system. phenomenon between characterized via hidden model with partly accessible mode probabilities. Applying Lyapunov function methods,...
In this article, the problem of asynchronous fault detection (FD) observer design is discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. general, FD cannot work synchronously with system, that is, mode varies system in line some conditional transitional probabilities. For dealing difficult point, hidden model (HMM) employed. Then, combining H∞ attenuation index and H_ increscent index, multiobjective solution to formed. terms linear matrix inequality technology,...
Abstract With the rapid development of industrial informatization and deep learning technology, modern data-driven fault diagnosis (MIFD) methods based on have been receiving attention from industry. However, most these require sufficient training samples to achieve desired diagnostic effect, scarcity in actual environment leads limitation MIFD methods. In addition, often need face cross-load or even cross-domain problems across different devices due changes equipment operating conditions...
Abstract Road object detection is an essential and imperative step for driving intelligent vehicles. Generally, road objects, such as vehicles pedestrians, present the characteristic of multi-scale uncertain distribution which puts a high demand on algorithm. Therefore, this paper proposes YOLOv3 (You Only Look Once v3)-based method aimed at enhancing capability cross-scale focusing valuable area. The proposed fills urgent need detection, its individual components will be useful in...
Summary The problem of hybrid‐driven fuzzy filtering for nonlinear semi‐linear parabolic partial differential equation systems with dual cyber attacks is investigated. First, a Takagi‐Sugeno (T‐S) model employed to reconstruct the original systems. Second, mechanism applied filter design balance systems' performance and limited network resource consumption under composed deception denial service attacks. Based on Lyapunov direct method, sufficient conditions guarantee stability augmented...
Abstract Iterative learning control (ILC) is a high performance scenario that widely applied to systems repeat given task or operation defined over finite duration, and has been introduced point‐to‐point motion tasks in existing work. However, its design degree of freedom not fully utilized optimize beyond tracking accuracy constrained conditions. The framework ILC this article extended within discrete linear time‐invariant (LTI) system, so as take the time instants desired positions...
<abstract><p>The fault-tolerant control problem of a hydraulic servo actuator in the presence faults is studied utilizing adaptive dynamic programming. This task challenging because unknown system dynamics, uncertain disturbances or unmeasurable states such highly nonlinear systems real applications. The aim to achieve asymptotic tracking and compensation by minimizing some predefined performance index. discrete-time algebraic Riccati equation iteratively solved programming...
Abstract This article addresses the exponential input-to-state stabilization problem for switched reaction–diffusion systems, in which systems’ mode jumping complies with persistent dwell-time switching mechanism. On basis of point measurement, a novel pointwise controller is designed to reduce amount sensors and actuators. Then, hysteresis quantizer an adjustable parameter employed balance quantitative effect system’s performance, can improve bandwidth utilization network, simultaneously....
This paper concerns the issue of finite-time dissipative asynchronous output feedback control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to quantisation, time delays and ubiquitous data dropouts, actual controller modes in practical application cannot always operate synchronously with plant modes. To conquer this difficulty, hidden model is employed provide some estimated information controlling. In addition, by Lyapunov function approach linear matrix...