- Distributed Control Multi-Agent Systems
- Optimization and Search Problems
- Robotic Path Planning Algorithms
- Fault Detection and Control Systems
- Advanced Control Systems Optimization
- Guidance and Control Systems
- Neural Networks Stability and Synchronization
- Game Theory and Applications
- Network Time Synchronization Technologies
- Reinforcement Learning in Robotics
- Opinion Dynamics and Social Influence
- Control Systems and Identification
- Artificial Immune Systems Applications
- Advanced Memory and Neural Computing
- Privacy-Preserving Technologies in Data
- Stability and Control of Uncertain Systems
- Experimental Behavioral Economics Studies
- Opportunistic and Delay-Tolerant Networks
- Military Defense Systems Analysis
- Stochastic Gradient Optimization Techniques
- Adaptive Control of Nonlinear Systems
- Robotics and Sensor-Based Localization
- Mobile Crowdsensing and Crowdsourcing
- Robotic Mechanisms and Dynamics
- Vehicular Ad Hoc Networks (VANETs)
Shanghai Jiao Tong University
2021-2025
Luoyang Institute of Science and Technology
2023-2025
Shenyang Aerospace University
2024
Dynamic Systems (United States)
2020-2021
University of California, Santa Barbara
2018-2021
The University of Texas at Austin
2020
State Key Laboratory of Industrial Control Technology
2014-2017
Zhejiang University
2012-2017
Zhejiang University of Technology
2014-2016
Virginia Tech
2004
In this paper, we consider joint pricing and task allocation in a unified mobile crowdsensing system, where all initiators users are viewed as peers. From an exchange market point of view, the such system depend only on supply demand since no one can dominate process, with optimal solution being characterized by Walrasian equilibrium. This is quite different from existing approaches, each initiator builds specific provides incentive mechanism to maximize his/her own utility. We design...
The performance and effectiveness of a vehicle platoon rely on the topology information flow quality communications, such as delays dropouts. In this paper, we investigate homogeneous constant-time-headway-spacing-policy-based longitudinal control problem, where communication impairments including limited range, random packet losses, time-varying are considered. Here, internal stability characterizes system without disturbance while string is concerned with error amplification when affected...
Under consensus-based economic dispatch (ED) algorithm, multiple agents, which control local generation units, cooperatively minimize the total cost subject to balance of and expected demand in smart grids. As ubiquitous time delays on communication links exist networks, studying effect performance is both theoretical merit practical value for efficient stable operation In this paper, we consider a well-developed ED protocol under constant delays. We find that there always exists...
Background To improve the scientificity of evaluation results planting performance Yellow River sediment based on substrate. Methods This study replaced natural soil with sediment, used cement as cementing material, added different proportions organic matter and amendment habitat material to prepare substrate carried out experiments by using oats proposed a combined SQI-CRITIC weighting calculation method least square for its evaluation. Results The showed that (1) led significant variations...
Maximum consensus is useful in many applications such as leader selection and time synchronization, it advantageous for its decentralization finite convergence. However, without preservation mechanisms maximum consensus, nodes' initial states especially the identity of node with state will be disclosed, which undesirable some application scenarios. To preserve privacy while maintaining advantages, we propose a Privacy Preserving Consensus (PPMC) algorithm, where all nodes independently...
Abstract This paper presents an adaptive tube‐based stochastic model predictive control algorithm for linear systems with state‐dependent additive uncertainties. Specifically, the uncertainty of system is modeled using Gaussian process regression, and information predicted by regression online leveraged to establish a confidence region uncertainty. By employing this region, time‐varying probabilistic reachable set, referred as tube, computed. Subsequently, process‐based devised set redefine...
The DeGroot-Friedkin (DF) model is a recently proposed dynamical description of the evolution individuals' self-appraisal and social power in influence network.Most studies this system its variations have so far focused on models with time-invariant network.This paper proposes novel analysis results for DF over switching networks, or without environment noise.First, we show that trajectory converges to ball centered at equilibrium reached by original model.For memory random interactions,...
Motivated by robotic surveillance applications, this paper studies the novel problem of maximizing return time entropy a Markov chain, subject to graph topology with travel times and stationary distribution. The is weighted average, over all nodes, first chain; objective function series that does not admit, in general, closed form. This features theoretical computational contributions. First, we obtain discrete-time delayed linear system for probability distribution establish its convergence...
Discrete time average consensus has been attracting lots of research attentions due to its wide spectrum applications in various networks. In these networks, it is also common and useful for mobile nodes serving as data collector or packet relayers. Hence, great interest investigate whether how the design can accelerate discrete while preserving value. This paper exploits a node reach fast consensus. First, we give sufficient condition node's state, which guarantees step-by-step convergence...
This article surveys recent advancements in strategy designs for persistent robotic surveillance tasks, with a focus on stochastic approaches. The problem describes how mobile robots stochastically patrol graph an efficient way, where the efficiency is defined respect to relevant underlying performance metrics. We start by reviewing basics of Markov chains, which are primary motion models surveillance. then discuss two main criteria regarding speed and unpredictability strategies. central...
This paper studies linear stochastic approximation (SA) algorithms and their application to multiagent systems in engineering sociology. As main contribution, we provide necessary sufficient conditions for convergence of SA a deterministic or random final vector. We also characterize the system rate, when is convergent. Moreover, differing from non-negative gain functions traditional algorithms, this considers case are allowed take arbitrary real numbers. Using our general treatment, reach...
This article studies a stochastic robotic surveillance problem where mobile robot moves randomly on graph to capture potential intruder that strategically attacks location the graph. The is assumed be omniscient: It knows current of agent and can learn strategy. goal for design strategy so as maximize probability capturing intruder. We model strategic interactions between Stackelberg game; optimal suboptimal Markov chain based strategies in star, complete, line graphs are studied. first...
Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 12 February 2020Accepted: 11 April 2021Published online: 30 September 2021KeywordsMetzler matrices, linear positive systems, Hurwitz stability, monotone small-gain theoremsAMS Subject Headings15B48, 93D20, 93D25Publication DataISSN (print): 0363-0129ISSN (online): 1095-7138Publisher: Society for Industrial and Applied MathematicsCODEN: sjcodc
In smart grid, the consensus-based economic dispatch algorithm is to allocate multiple generation units meet expected demand, while minimizing total cost in a distributed manner. Since network-induced time delays ubiquitously exist investigation of effect on performance both theoretical merit and practical value. this paper, under well-developed protocol, we consider that optimal power each unit does not reach its upper or lower bounds. We firstly exploit no matter how large uniform finite...
It is important and challenging to achieve accurate time synchronization in wireless sensor networks. Various noises, e.g., communication delay, clock fluctuation measurement errors, are inevitable hard be estimated accurately, which the main challenge for achieving an synchronization. In this paper, we focus on how by considering a practical noise model, bounded noise, may not satisfy any known distributions. The principle that monotonic sequence must possess limit concept of maximum...
This article analyzes the meeting time between a pair of pursuer and evader performing random walks on digraphs. The existing bounds usually work only for certain classes cannot be used to formulate optimization problems design robotic strategies. First, by analyzing multiple common graph as single walk Kronecker product graph, we provide first closed-form expression expected in terms transition matrices moving agents. novel leads necessary sufficient conditions finite insightful...
Multiagent policy evaluation and seeking are long-standing challenges in developing theories for multiagent reinforcement learning (MARL), due to multidimensional goals, nonstationary environment, scalability issues the joint space. This article introduces two metrics grounded on a game-theoretic solution concept called sink equilibrium, evaluation, ranking, computation of policies learning. We adopt strict best response dynamics (SBRDs) model selfish behaviors at meta-level MARL. Our...
This paper presents an integrated boost DC-DC converter designed with standard CMOS technology. The chip features low input voltage operation and high efficiency over large load range (1 mA to 1 A), which makes it suitable for power management in the portable systems source. prototypes were fabricated using HP/Agilent 0.5 /spl mu/m process. experimental results verified good functionality performance. In addition design strategies considerations, this also includes a discussion on switching...