Cooperative control of multi-agent system has been extensively discussed for groups with single-layer topology. This paper is unfolded from the problem of consensus and discusses how to decompose a single-layer topolo...
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Cooperative control of multi-agent system has been extensively discussed for groups with single-layer topology. This paper is unfolded from the problem of consensus and discusses how to decompose a single-layer topology into layers of connected subgraphs to improve the cooperative performance of group. A hierarchical decomposition algorithm is developed to split the topology into hierarchy. On the premise that each agent can only interact with its neighbors restricted by the original topology of system, performing consensus within the hierarchical structure obtained by our algorithm will yield the fastest convergence when compared with running consensus on original single-layer topology or other hierarchical structures. This paper also presents a connection between topological structure of group and the global performance in cooperative control.
MIMO (multiple-input multiple-output) radar has been recently introduced as an important new radar system which emits orthogonal waveforms to cover a wide surveillance space. Therefore, the electronic reconnaissance t...
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MIMO (multiple-input multiple-output) radar has been recently introduced as an important new radar system which emits orthogonal waveforms to cover a wide surveillance space. Therefore, the electronic reconnaissance technology for MIMO radar is of great significance in the future war. In this paper, a new electronic reconnaissance mode and identification algorithm for MIMO radar is proposed. In detail, a single reconnaissance aircraft is used to fly along a circumference of suspicious radar, collecting radiated signals on multiple positions. Furthermore, the collected data is analyzed and the number of orthogonal waveforms is estimated to detect and discriminate whether it’s a MIMO radar. Studies show that the wider angle range the reconnaissance aircraft flies by, the better the estimation results will be. Accurate estimates can be achieved when the flying angle exceeds a certain threshold. In addition, the reconnaissance aircraft requires a longer flight when MIMO radar uses more orthogonal waveforms or the signal-to-noise ratio (SNR) is relatively low.
Image radiometric distortion is problematic to many remote sensing based image change detection methods. Thus image radiometric normalization is critical to successful change detection and other image analysis. Histog...
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ISBN:
(纸本)9781612848495
Image radiometric distortion is problematic to many remote sensing based image change detection methods. Thus image radiometric normalization is critical to successful change detection and other image analysis. Histogram matching (HM) method has been widely used for radiometric normalization. However, when two corresponding image scenes have partial changes, these changes will introduce additional distortions in the histogram matching process. Obviously, if the change areas in the images can be excluded from histogram matching, the distortions in histogram matching will be avoided. Thus, a novel, iterative change detection based HM normalization algorithm is proposed in this paper. The algorithm of the proposed iterative invariant area histogram matching and an adaptive thresholding schema are first introduced, and the change detection experiment results are then presented. The preliminary results indicate that the proposed method significantly improves the performance of change detection for a given threshold as judged by visual inspection.
Abstract Model predictive control (MPC) algorithm has been widely applied in industry processcontrolsystems since last century, like petro-refining and other chemical processes. However, it is rarely used in field c...
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Abstract Model predictive control (MPC) algorithm has been widely applied in industry processcontrolsystems since last century, like petro-refining and other chemical processes. However, it is rarely used in field controllers due to the complexity of online optimization. This paper introduces a new MPC system based on the field programmable gate array (FPGA) chip. In order to make MPC controller more efficient, a hybrid way is adopted to design the quadratic programming (QP) solver on the FPGA chip. Thus, the controller can solve the optimization problem of MPC in a pretty short time. The whole controlsystem is implemented on a Virtex-4 FPGA chip and applied to the angle servo control of two motors with a satisfactory result. The experiment shows that it is possible to apply MPC algorithm in field controller by the proposed design.
Saturation characteristic exists widely in the real system, and a large number of articles have taken constraint conditions into account during the controller design process. However, relative to the research on the i...
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ISBN:
(纸本)9781612844879
Saturation characteristic exists widely in the real system, and a large number of articles have taken constraint conditions into account during the controller design process. However, relative to the research on the input (actuator) saturation, study on the output (sensor) saturation has not been taken seriously and research results are very little, especially in the aspect of effect on the identification due to the saturation output. In this paper, under the data-driven controlsystem based on online subspace identification and model predictive control (MPC) method, the relationship among the output saturation step, prediction horizon and subspace matrix is obtained, while the change of the systeminformation is unknown because the output signals are locked. Finally, a simulation example is given to demonstrate the correction of the conclusion.
In this paper, clutter suppression and target detection in clutter edge is discussed. Firstly the statistical model of the clutter edge is established, based on which maximum likelihood estimation for the transition r...
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In this paper, clutter suppression and target detection in clutter edge is discussed. Firstly the statistical model of the clutter edge is established, based on which maximum likelihood estimation for the transition range bin of the clutter edge is derived. Simulations illustrate that by carefully choosing the secondary samples based on the estimation result of the transition range bin, the signal to inference plus noise ratio (SINR) can be improved significantly.
In this paper, we address the design of decentralized controller for connectivity-preserving flocking without velocity measurement. An output vector based on neighbors' position information alone is constructed to...
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ISBN:
(纸本)9781612844879
In this paper, we address the design of decentralized controller for connectivity-preserving flocking without velocity measurement. An output vector based on neighbors' position information alone is constructed to replace the role of velocity, then some bounded attractive and repulsive forces are integrated together to design the controller. Under some initial conditions, we prove that the controller not only can synchronize all agents, but also can avoid collision as well as preserving connectivity among agents for all the time. Moreover, a leader-follower method is used to guide the group to a desired direction, where the neighboring relationship is totally determined by the distance.
The optimization of reactive power compensation plays an important role in power system planning and designing. A mathematical model in the 10kV distribution network will be established in this paper. Its objective fu...
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作者:
DequanLiQipengLiuXiaofan WangDepartment of Automation
Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 Shanghai P.R.China
The available investigations about quantized average consensus typically assume agents be confined to evolve on balanced digraphs via quantized information exchange, thus the corresponding update matrices are doub...
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The available investigations about quantized average consensus typically assume agents be confined to evolve on balanced digraphs via quantized information exchange, thus the corresponding update matrices are doubly stochastic, which is very restrictive and brings about feasibility problem in practical applications. By dropping the doubly stochastic constraint for the update matrices, this paper studies the consensus seeking for a group of agents on general strongly connected digraphs, where agents' states are communicated (may be unidirectional) through logarithmic quantizer. Under mild assumptions on network topology, we derive an upper bound for the quantization precision to guarantee the weighted average preservation of the whole network.
In this paper, we study the limit set of multi-agent logical system via an algebraic method. We first show that such system can be converted into a linear system through an expansion of space. Then, we discuss the str...
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In this paper, we study the limit set of multi-agent logical system via an algebraic method. We first show that such system can be converted into a linear system through an expansion of space. Then, we discuss the structure properties of system matrix and investigate the relationship between the eigenvalues and the limit set. As an application, the nilpotent problem of elementary cellular automata(ECA) known as algorithmically undecidable is considered, and all the nilpotent ECA are found out which consists of rules 0, 8, 64, 239, 253, 255.
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