作者:
Liang, HailiSu, HoushengWang, XiaofanChen, Michael Z.Q.[a] Department of Automation
Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China[b] School of Automation Key Laboratory of Ministry of Education for Image Processing and Intelligent Control Huazhong University of Science and Technology Luoyu Road 1037 Wuhan 430074 China[c] Department of Mechanical Engineering The University of Hong Kong Hong Kong
This paper investigates the problem of swarm aggregations of heterogeneous multi-agent systems. Comparing with the existing studies on swarm aggregations of homogeneous multi-agent systems, this paper is much more res...
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This paper investigates the problem of swarm aggregations of heterogeneous multi-agent systems. Comparing with the existing studies on swarm aggregations of homogeneous multi-agent systems, this paper is much more resembling the practical situations, where the agents have different dynamics. We show that the heterogeneous agents will gather with a certain error under some assumptions and conditions. The stability properties have been proven by theoretical analysis and verified via numerical simulation. The stability of the heterogeneous multi-agent systems has been achieved based on matrix theory and the Lyapunov stability theorem. Numerical simulation is given to demonstrate the effectiveness of the theoretical result. [PUBLICATION ABSTRACT]
This paper focuses on the problem of secure distributed consensus to defend covert misbehavior in wireless sensor networks (WSNs). Distributed consensus is a promising method to improve the efficiency and precision of...
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This paper focuses on the problem of secure distributed consensus to defend covert misbehavior in wireless sensor networks (WSNs). Distributed consensus is a promising method to improve the efficiency and precision of consensus results in WSNs, but it introduces new security issues that malicious nodes may manipulate false sensing data to degrade the sensing result of the whole network. A data falsification attack, i.e., the attacker injects random values into its neighboring nodes at each time-step of consensus process, is considered. This kind of attack cannot be defended against by most of existing detection mechanisms. We present a distributed detection mechanism with adaptive local threshold to isolate the abnormal nodes. A Weighted Averaging-based Consensus Scheme (WACS) is proposed to decrease the negative impact of the attack and make the network converge to a consensus value. It is proved that convergence property can be guaranteed by the relationship between weighted average of the noise and stochastic approximation. Simulation results are presented to show the effectiveness of the proposed secure scheme.
Adopting MPC to a fast changing system has always been a challenging problem due to the computational *** the equivalent aggregation strategy and the fast algorithm based on MPC proposed, the computational efficiency ...
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ISBN:
(纸本)9781479947249
Adopting MPC to a fast changing system has always been a challenging problem due to the computational *** the equivalent aggregation strategy and the fast algorithm based on MPC proposed, the computational efficiency has been promoted greatly. This paper improves the fast algorithm combined with the equivalent aggregation strategy, and investigates the feasibility of adopting the fast algorithm based on MPC to DC-AC power inverter system which switching time is 52 μs. Simulation and the experiment have verified that the fast online MPC algorithm applied on the fast sampling system with embedded platform implementation works well.
In this paper,we propose a control algorithm for quadruped walking robots to track the Zero Moment Point(ZMP)trajectory using Preview *** critical moment of trot pace,we can assume the robot as a linear inverted pendu...
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ISBN:
(纸本)9781479947249
In this paper,we propose a control algorithm for quadruped walking robots to track the Zero Moment Point(ZMP)trajectory using Preview *** critical moment of trot pace,we can assume the robot as a linear inverted pendulum so that the linear inverted pendulum model can be applied to describe the dynamic behavior of our quadruped robot.A preview controller therefore is designed for this non-minimum phase system to get the optimal input of the *** reference trajectory can be decomposed into two *** is on the direction of movement,and the other is on the vertical direction of *** the preview controller we can track the reference in both two directions and the optimal trajectory tracking can be achieved.
This paper is concerned with the parameter and state estimation problem in the presence of the observer gain perturbations for a class of fractional order nonlinear systems which are linear in the unknown parameters a...
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This paper is concerned with the parameter and state estimation problem in the presence of the observer gain perturbations for a class of fractional order nonlinear systems which are linear in the unknown parameters and nonlinear in the states. According to the equivalent frequency distributed model of fractional integrator, the direct Lyapunov approach is adopted to derive a nonlinear adaptive non-fragile observer. The gain for the non-fragile observer is systematically obtained in terms of linear matrix inequality(LMI). A numerical example is provided to illustrate the efficiency and validity of the proposed approach.
As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. Ho...
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As one of key technologies in photovoltaic converter control, Maximum Power Point Tracking (MPPT) methods can keep the power conversion efficiency as high as nearly 99% under the uniform solar irradiance condition. However, these methods may fail when shading conditions occur and the power loss can over as much as 70% due to the multiple maxima in I – P curve in shading conditions v.s. single maximum point in uniformly solar irradiance. In this paper, a Real Maximum Power Point Tracking (RMPPT) strategy under Partially Shaded Conditions (PSCs) is introduced to deal with this kind of problems. An optimization problem, based on a predictive model which will change adaptively with environment, is developed to tracking the global maxima and corresponding adaptive control strategy is presented. No additional circuits are required to obtain the environment uncertainties. Finally, simulations show the effectiveness of proposed method.
This paper studies the semi-global leader-following consensus problem for a group of linear systems in the presence of both actuator position and rate saturation. Each follower agent in the group is described by a gen...
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This paper studies the semi-global leader-following consensus problem for a group of linear systems in the presence of both actuator position and rate saturation. Each follower agent in the group is described by a general linear system subject to simultaneous actuator position and rate saturation. We construct a low gain based linear state feedback control law for each follower agent and show that semi-global leader-following consensus can be achieved by using these control laws when the communication topology among follower agents is a connected undirected graph and the leader is a neighbor of at least one follower. Simulation results illustrate the theoretical results.
Map-matching algorithms integrated with GPS/DR are widely used for high precise self-localization in everyday ***,GPS signal is not available in many places,*** or jammed signals.A state-of-theart solution is a GPS-fr...
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Map-matching algorithms integrated with GPS/DR are widely used for high precise self-localization in everyday ***,GPS signal is not available in many places,*** or jammed signals.A state-of-theart solution is a GPS-free map-matching algorithm with a probabilistic model as well as an efficient approximate inference *** that algorithm is computationally efficient,it still puts high demands on the computation and driving *** paper adopts the model and presents an extended probabilistic self-localization algorithm using hybrid maps which include terrain maps and road network *** show that the extended probabilistic algorithm enhances the real-time performance and relaxes the requirement of the shape of the *** proposed vehicle self-localization algorithm meets positioning requirements of ITS and it can provide references for actual use of map-matching algorithm in ITS.
Unit commitment(UC),as a typical optimization problem in electric power system,faces new challenges as energy saving and emission reduction getting more and more vital in the way to a more environmentally friendly ***...
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Unit commitment(UC),as a typical optimization problem in electric power system,faces new challenges as energy saving and emission reduction getting more and more vital in the way to a more environmentally friendly *** meet these challenges,the UC model considering energy saving and emission reduction is proposed in this *** using real-number coding method,swap-window and hill-climbing operators,an improved real-coded genetic algorithm(IRGA)solution for UC is presented,which shows an improvement in effectiveness and computational time compared with other algorithms approach to the proposed UC problem.
This paper revisits the problem of estimating the domain of attraction for systems with saturation *** divide the input space into several regions. In one of these regions, none of the inputs saturate. In each of the ...
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ISBN:
(纸本)9781479947249
This paper revisits the problem of estimating the domain of attraction for systems with saturation *** divide the input space into several regions. In one of these regions, none of the inputs saturate. In each of the remaining regions, there is a unique input that saturates everywhere with the time-derivative of its saturated signal being zero. These special properties of the inputs in different regions of the input space are combined with an existing piecewise quadratic Lyapunov functions that contains the information of input saturation to arrive at a set of less conservative stability conditions, from which a larger level set of the piecewise quadratic Lyapunov function can be obtained as an estimate of the domain of *** results indicate that the proposed approach has the ability to obtain a significantly larger estimate of the domain of attraction than the existing methods.
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