- Stability and Control of Uncertain Systems
- Control Systems and Identification
- Fault Detection and Control Systems
- Neural Networks Stability and Synchronization
- Distributed Control Multi-Agent Systems
- Advanced Control Systems Optimization
- Iterative Learning Control Systems
- Computational Drug Discovery Methods
- Adaptive Control of Nonlinear Systems
- Control and Stability of Dynamical Systems
- Machine Learning in Materials Science
- Sensorless Control of Electric Motors
- Electric Motor Design and Analysis
- Neural Networks and Applications
- Cooperative Communication and Network Coding
- Target Tracking and Data Fusion in Sensor Networks
- Genetics, Bioinformatics, and Biomedical Research
- UAV Applications and Optimization
- Piezoelectric Actuators and Control
- Indoor and Outdoor Localization Technologies
- Advanced Wireless Communication Techniques
- Advanced Data Storage Technologies
- Advanced Image Processing Techniques
- Ultra-Wideband Communications Technology
- Parallel Computing and Optimization Techniques
University of Hong Kong
2024
Nankai University
2024
Guangxi University
2024
Beijing Information Science & Technology University
2024
Sinopec (China)
2023
University of Science and Technology of China
2020-2023
NARI Group (China)
2023
Georgia Institute of Technology
2002-2023
Fujian Electric Power Survey & Design Institute
2022-2023
Wenzhou Medical University
2023
This paper addresses cooperative search for multiple stationary ground targets by a group of unmanned aerial vehicles with limited sensing and communication capabilities. The whole surveillance region is partitioned into cells where each cell associated probability target existence within the cell, which constitutes map region. Each agent keeps an individual updates individually measurements according to Bayesian rule. A nonlinear transformation introduced simplify computation linearizing...
The Space-Time Video Super-Resolution (STVSR) task aims to enhance the visual quality of videos, by simultaneously performing video frame interpolation (VFI) and super-resolution (VSR). However, facing challenge additional temporal dimension scale inconsistency, most existing STVSR methods are complex inflexible in dynamically modeling different motion amplitudes. In this work, we find that choosing an appropriate processing achieves remarkable benefits flow-based feature propagation. We...
Great potentials of robotic networks have been found in numerous applications such as environmental monitoring, battlefield surveillance, target search and rescue, oil gas exploration, etc. A networked multi-robot system allows cooperative actions among robots can achieve much beyond the summed capabilities each individual robot. However, it also poses new research technical challenges including novel methods for multi-agent data fusion, topology control path planning, In this paper, we...
In this study, the problem of finite-time stability linear time-varying singular systems with impulses at fixed times is addressed. Sufficient conditions for impulsive to be stable are proposed in terms a set coupled matrix inequalities. Two numerical examples given illustrate effectiveness obtained theoretical results.
This study addresses consensus problems of multi-agent systems (MASs) using dynamic output feedback control under both fixed and switching topologies. We aim to exploit the information structure for consensusability MASs. Necessary sufficient conditions are presented in terms detectability stabilisability agents, graph topology, some matrix inequality constraints. These explicitly reveal how is affected by intrinsic dynamics communication topology available information. In addition, this...
UWB signal has high ranging precision due to its large bandwidth. In this paper, TDOA ranges measured by signals are used in the position estimation process. The modeled for both LOS and NLOS environment. A error-minimizing localization method been proposed estimate locations of blind nodes performance is investigated propagations. Cramer-Rao lower bound (CRLB) on variance node positions also derived situation. Furthermore, we demonstrate that more robust range errors than Chan's
<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> This paper presents a digital plug-in frequency domain based repetitive control scheme for minimizing the odd order harmonics in supply line side currents of three phase pulsewidth modulation (PWM) boost rectifier under distorted and unbalanced voltage conditions. Based on mathematical model three-phase PWM generalized conditions, task is divided into: (a) dc-link (b)supply current control. The...
This technical note is concerned with the simultaneous stabilization and robust performance control for a class of polynomial nonlinear systems. Building on tenets state-dependent Lyapunov functions, we present sufficient conditions without Hinfin performance. These can be verified by recently developed sum squares technique which essentially solves linear matrix inequality feasibility problem.
The robust guaranteed cost consensus problem of high‐order discrete‐time linear multi‐agent systems (MASs) with parameter uncertainties and time‐varying delays is studied, a protocol it designed. Norm‐bounded polytopic are considered. First, the idea control introduced into problems for MASs, where function defined based on state errors among neighbouring agents inputs all agents. Second, by constructing suitable Lyapunov functions using stability theory systems, two sufficient matrix...
The effect of intrathecal (i.t.) morphine on the spinal nociceptive flexor reflex in doses ranging between 10 ng and μg was studied decerebrate, spinalized, unanesthetized rats with intact sciatic nerves or which nerve had been unilaterally sectioned. In initial i.t. a brief facilitation followed by depression. threshold dose for depression 100 ng. animals did not develop autotomy after section ceased several days prior to acute experiments similar depressive as nerves. However, were...
Permanent magnet synchronous motor (PMSM) drives are increasingly used in high-performance motion control applications where smooth torque is an essential requirement. However, presence of the air gap flux harmonics gives rise to undesirable pulsations. These pulsations result performance deterioration drive applications. In this paper, we present a systematic way design and implement new instantaneous controller using discrete iterative learning (ILC) scheme with objective achieving ripple...
It is well known by equivalent control theory, that in the sliding mode a low-pass filter, working as an average operator, can capture desired fairly from switching signals. However, directly adding filtered signals parallel with does not warrant any improvement system performance. In this work, we make clear underlying reason why (SMC) function properly such simple closed-loop filtering structure. The correct way of incorporating into SMC requires second which works concurrently first low...
In this paper, the recurrent neural networks (RNNs) with a generalized activation function class is proposed. proposed model, every component of neuron's belongs to convex hull which bounded by two odd symmetric piecewise linear functions that are or concave over real space. All hulls composed classes. The novel not only more flexible and specific description than other classes but it also generalizes some traditional absolute exponential stability (AEST) RNN studied through three steps....
The cascaded dc–dc converter is a popular topology for large-scale medium-voltage photovoltaic (PV) system with the advantages of high voltage conversion ratio, efficiency, great flexibility, and independent control capability. However, absence optimal string maximum power point tracking (MPPT) operation under mismatch big issue in common centralized control. Furthermore, cost time delay are unacceptable resulting from distance among PV strings station needs to adopt distributed method...
In this paper, a novel direct torque controller for switched reluctance motor (SRM) is proposed using spatial iterative learning control (ILC). SRM magnetization characteristics are highly non-linear, and complex coupled function of phase current rotor position. Direct (DTC) scheme avoids the complexity torque-to-current conversion as required in indirect scheme. Traditional DTC uses hysteresis leads to large amount ripples when implemented digital controller. Advanced non-linear methods can...
As the success of Web increasingly brings us towards a fully connected world, home networking systems that connect and manage appliances become natural next step to complete connectivity. Although there has been fast-growing interest in design smart environments, little study on dependability issues, which is essential making part our daily lives. The heterogeneity various in-home networks, undependable nature consumer devices, lack knowledgeable system administrators environment introduce...
In this paper, we discuss the stabilization problem for a class of discrete-time nonlinear polynomial systems. By employing state-dependent Lyapunov functions, solution based on sums squares (SOS) theory is proposed state feedback with or without H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">infin</sub> performance. Sufficient solvability conditions are given which can be solved by recently developed SOS solvers.
In this paper, the consensus problem for high-order discrete-time networked multi-agent systems (D-NMAS) is investigated by distributed feedback protocols. By constructing self-feedback matrix and neighbouring networks, protocols are designed under three different cases corresponding convergence analysis provided. Consensus results of networks provided final values, which related to matrices, initial states topology not time delays. first case where a directed network with fixed concerned,...