A5019060617- Stability and Control of Uncertain Systems
- Target Tracking and Data Fusion in Sensor Networks
- Distributed Sensor Networks and Detection Algorithms
- Fault Detection and Control Systems
- Distributed Control Multi-Agent Systems
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Neural Networks Stability and Synchronization
- Smart Grid Security and Resilience
- Energy Efficient Wireless Sensor Networks
- Stability and Controllability of Differential Equations
- Indoor and Outdoor Localization Technologies
- Robotic Path Planning Algorithms
- Control Systems and Identification
- Robotics and Sensor-Based Localization
- Network Time Synchronization Technologies
- Iterative Learning Control Systems
- Robot Manipulation and Learning
- Inertial Sensor and Navigation
- Network Security and Intrusion Detection
- Smart Grid Energy Management
- Security in Wireless Sensor Networks
- Tactile and Sensory Interactions
- Advanced Sensor and Energy Harvesting Materials
- Nonlinear Dynamics and Pattern Formation
Zhejiang University of Technology
2016-2025
North China Municipal Engineering Design & Research Institute
2018-2023
China Telecom
2022
China Telecom (China)
2022
Zhejiang University
2021
Hunan University of Science and Technology
2019
City University of Hong Kong
2011-2014
Aquatic Systems (United States)
2014
Innovation Performance (Norway)
2014
Embedded Systems (United States)
2009-2011
In this paper, we discuss the modeling and control of a class networked systems (NCSs) with packet dropouts. For cases that there may be dropouts in both backward forward channels communication network, network-induced delays are shorter than one sampling period, closed-loop NCS is modeled as discrete-time switched system four subsystems. By using asynchronous dynamical approach average dwell-time method, sufficient conditions for exponential stability presented terms nonlinear matrix...
Replicating human somatosensory networks in robots is crucial for dexterous manipulation, ensuring the appropriate grasping force objects of varying softness and textures. Despite advances artificial haptic sensing object recognition, accurately quantifying perceptions to discern texture remains challenging. Here, we report a methodology that uses bimodal sensor capture multidimensional static dynamic stimuli, allowing simultaneous quantification features. This method demonstrates...
This paper studies the distributed dimensionality reduction fusion estimation problem for a class of cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. The is modeled resource constraints (i.e., bandwidth or energy) defender and attacker. Based on new attack compensation model, recursive Kalman estimator (DKFE) designed addressed CPSs. Though optimization objects attacker are opposite, corresponding problems established based different available information. In this case,...
This technical note is concerned with the distributed Kalman filtering problem for a class of networked multi-sensor fusion systems (NMFSs) missing sensor measurements, random transmission delays and packet dropouts. A novel stochastic model proposed to describe dropouts, an optimal filter (DFKF) designed based on criterion weighted by matrices. Some sufficient conditions are derived such that MSE DFKF bounded or convergent. Moreover, steady-state also presented NMFSs. An illustrative...
An active security control approach is developed in this article for cyber-physical systems (CPSs) under denial-of-service (DoS) attacks, where DoS attacks exist both the sensor-to-controller (S-C) channel and controller-to-actuator (C-A) channel. Due to cost constraints of it reasonable consider that number maximum continuous S-C C-A channels bounded. Then, defend two-channel an strategy makes full use unattacked intervals designed ensure inputs are updated timely each period. Meanwhile, a...
In a networked multiaxis motion control task, faults in any motor will cause the performance degradation of cooperative operation, which may considerably affect whole network and quality products. The main objective this article is to propose an improved observer-based fault-tolerant tracking approach for industrial multiagent systems. First, group new distributed intermediate estimators presented, where design structure modified enhance feasibility estimation scheme. It shown that both...
This paper studies the observer based fault tolerant tracking control problem for linear multiagent systems with multiple faults and mismatched disturbances. A novel distributed intermediate estimator protocol is presented. The leader's input nonzero unavailable to followers. By applying a projection technique, disturbances are separated into matched unmatched components. For each node, error system established, which an driven by relative output measurements constructed estimate sensor...
This paper studies the extended state observer (ESO)-based distributed model predictive control (DMPC) approach to deal with multiple mobile robot formation unknown disturbances. The problem path parameters synchronization and disturbance rejection is formulated for system according tracking error dynamic model, where reference paths are parameterized. A local controller designed by using DMPC strategy each in absence of including parameter constraints quadratic performance index as coupling...
This article presents an intelligent fault diagnosis method for wind turbine (WT) gearbox by using wavelet packet decomposition (WPD) and deep learning. Specifically, the vibration signals from are decomposed WPD signal components fed into a hierarchical convolutional neural network (CNN) to extract multiscale features adaptively classify faults effectively. The presented combines characteristic of with strong classification capacity CNNs, it does not need complex manual feature extraction...
Abstract Tactile sensing is essentially required for dexterous manipulation in robotic applications. Mimicking human perception of softness identification a non-invasive fashion, thus achieving satisfactory interaction with fragile objects remains grand challenge. Here, scatheless measuring methodology based on the multisensory electronic skins to quantify elastic coefficient soft materials reported. This recognition approach lies preliminary classification by piezoelectric signals modified...
Flexible strain sensors with high strength and sensitivity for human–machine interaction consisting of patterned liquid metal supramolecular hydrogels are presented.
Lip-reading recognition (LRR) has gained significant attention due to its potential applications in various scenarios, such as communication for the speech-impaired, conversations noisy or dark environments, and human–machine interactions. However, existing LRR technologies based on computer vision suffer from drawbacks high cost of electronic camera equipment negative impact ambient lighting accuracy. Herein, a graphene-based flexible strain sensor is developed through facile,...
This paper is concerned with the distributed finite-horizon fusion Kalman filtering problem for a class of networked multi-sensor systems (NMFSs) in bandwidth and energy constrained wireless sensor network. To satisfy finite communication bandwidth, only partial components each local vector estimate are allowed to be transmitted center (FC) at particular time, while intermittently sends information FC reducing consumptions. At end, novel compensation strategy proposed compensate...
In this paper, the robust information fusion Kalman filtering problem is considered for multi-sensor systems with parameter uncertainties, randomly delayed measurements and sensor failures. The stochastic perturbations are included in state space models such that proposed estimator has robustness varying system parameters. For each observation subsystem, multiple binary random variables known probabilities introduced to model failures delays measurements. Without resorting augmentation of...