A5103162255- Stability and Control of Uncertain Systems
- Control Systems and Identification
- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Fault Detection and Control Systems
- Adaptive Control of Nonlinear Systems
- Video Analysis and Summarization
- Structural Health Monitoring Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Opportunistic and Delay-Tolerant Networks
- Infrastructure Maintenance and Monitoring
- Fire Detection and Safety Systems
- Image Retrieval and Classification Techniques
- Mathematical and Theoretical Epidemiology and Ecology Models
- Advanced Adaptive Filtering Techniques
- E-commerce and Technology Innovations
- Mobile Ad Hoc Networks
- Speech and Audio Processing
- Music and Audio Processing
- Control and Stability of Dynamical Systems
- Simulation and Modeling Applications
- Robotics and Sensor-Based Localization
- Recommender Systems and Techniques
- Advanced Technologies in Various Fields
- Stability and Controllability of Differential Equations
Communication University of Zhejiang
2013-2021
Wenzhou University
2010-2013
Northwestern Polytechnical University
2011
This paper discusses the problem of robust controller design for two-dimensional (2-D) Markovian jump linear systems. The is demonstrated using Fornasini-Marchesini local state-space models, which are affected by uncertainties. transition-mode probability matrix homogenous and known. It assumed that mode information available implementation. Then, a mode-dependent state-feedback proposed. By substituting into 2-D system, stochastic closed-loop system obtained, because variable, external...
This paper investigates the consensus problem of multi-agent systems with Euler-Lagrange dynamics, under uniform sampling and arbitrary nonuniform schemes, respectively. Firstly, we propose a protocol using both position velocity information, study conditions. Then extend results to case applying event-triggered strategy, analyze corresponding property. Simulation examples comparisons verify effectiveness proposed methods.
Abstract. This study explores the efficacy of vehicle-assisted monitoring for bridge damage assessment, emphasizing integration diverse sensor data sources. A novel method utilizing a deep neural network is proposed, enabling fusion fixed sensors on bridges and onboard vehicle assessment. The offers scalability, robustness, implementability, accommodating various measurement types while handling noise dynamic loading conditions. main aspect our work its ability to extract damage-sensitive...
The reduced-order filtering problem for a class of discrete-time smooth nonlinear systems subject to multiple sensor faults is studied. It well known that complex system can be approximated by Takagi-Sugeno fuzzy linear with finite number subsystems. In this work, firstly, the transferred into Secondly, filter reduced order original proposed designed. Different from traditional assumption in which measurement output ideal, are described via Bernoulli processes. By using augmentation...
The tracking problem for continuous‐time systems is investigated. It assumed that the states of are not available. An observer firstly designed to estimate by using ℋ ∞ method. control action consist a state‐feedback control, an integral component, and feedforward loop. linear‐matrix‐inequality region used constrain eigenvalue location closed‐loop systems. gains can be obtained solving sequence linear matrix inequalities (LMIs) which guarantee mixed 2 / performance
In order to solve the shortcomings of quantitative time and frequency analysis along with weakness self adapting in wavelet transform, Hilbert-Huang transform is adopted this article fund subject spaceflight, puzzle accurate precision noncooperated source solved, matlab simulation has been carried on, result verified feasibility method measurement sine signal Gauss complex circle flat noise, noiseproof feature also wonderful, condition SNR ≥ 5dB, for all kinds modulation location technology,...