This paper investigates the problem of a false data injection (FDI) attack on actuators against linear discrete-time cyber-physical systems (CPSs). Using a fuzzy approach that attack signals are generated by the desig...
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A variable impedance decentralized control method of reconfigurable robot manipulator (RRM) with human robot collaboration (HRC) using Gaussian process-based motion intention estimation is proposed in this paper. The ...
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This paper studies the distributed longitudinal platoon control of connected vehicles in the presence of communication delays and external disturbances. We consider a group of connected vehicles that needs to maintain...
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Aiming at bipedal modular robot (MR) system with strong coupling, a trajectory tracking method based on adaptive neural network (NN) is proposed to solve the gait coordination control issue, and the dynamic model of b...
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For modular robot manipulators (MRMs) with physical human-robot interaction (pHRI) tasks, an adaptive fuzzy impedance control method based on the estimation of human motion intention is proposed in this paper. Dynamic...
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This paper presents a decentralized self-triggered tracking control method for modular reconfigurable robots (MRRs) via adaptive dynamic programming (ADP). The Newton-Euler form dynamic modeling method is used to mode...
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This paper proposes a novel consensus-based autonomous grouping algorithm to address a task scheduling problem for a fleet of autonomous robots. As an extension of the consensus-based bundle algorithm, the proposed al...
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In response to challenges such as variable lighting conditions, sparse texture information, and dynamic, unstructured environments, this paper introduces an innovative radarvision-inertial odometry system for Simultan...
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This work considers the angle-based position estimation problem of multi-agent systems under noisy environment, and proposes a robust distributed position estimation method. The angle-induced linear constraint is used...
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The variability of renewable energy and transmission congestion provide opportunities for arbitrage by merchants in deregulated electricity *** strategically invest to maximize their *** paper proposes a joint investm...
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The variability of renewable energy and transmission congestion provide opportunities for arbitrage by merchants in deregulated electricity *** strategically invest to maximize their *** paper proposes a joint investment framework for renewable energy,transmission lines,and energy storage using the Stackelberg game *** the upper level,merchants implement investment and operation strategies for deregulated transmission and energy storage to maximize *** the middle level,central planners seek to maximize social welfare through investments in centralized renewable energy and energy *** the lower level,independent system operators jointly optimize the energy and reserve markets to minimize the total operating *** are remunerated through financial rights,which are a settlement method based on locational marginal *** trilevel optimization problem is reformulated as a tractable single-level one using Karush-Kuhn-Tucker(KKT)conditions and strong duality *** interaction between merchants and central planners is studied with an example based on the IEEE 30-bus test *** assignment of weight coefficients to the corresponding stochastic scenarios can help merchants avoid investment risk,and their effectiveness is verified with the IEEE 118-bus test system.
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