This paper is concerned with sampled-data consensus of second-order delayed multi-agent systems with delayed-state-derivative feedback. First, the delay decomposition technique is used for obtaining the consensus prot...
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ISBN:
(纸本)9781629932170
This paper is concerned with sampled-data consensus of second-order delayed multi-agent systems with delayed-state-derivative feedback. First, the delay decomposition technique is used for obtaining the consensus protocol based on sampled-data. Then, the stability theory of linear systems and algebra graph theory are employed to derive the necessary and sufficient conditions about the sampling period guaranteeing the achievement of stationary consensus. Last, simulations are provided to demonstrate the effectiveness of the theoretical results.
A two-stage least squares based iterative parameter estimation algorithm is proposed for identifying a feedback nonlinear system with the open-loop being a controlled autoregressive moving average model from input-out...
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ISBN:
(纸本)9781479901777
A two-stage least squares based iterative parameter estimation algorithm is proposed for identifying a feedback nonlinear system with the open-loop being a controlled autoregressive moving average model from input-output data. The identification model is bilinear on two unknown parameter vectors. By decomposing a system into two subsystems, we identify each subsystem, which is linear about a parameter vector. The simulation example is provided.
This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control directions. By using a linear state transformation, the unknown control coeff...
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This paper focuses on the problem of adaptive output feedback stabilization for a class of stochastic nonlinear system with unknown control directions. By using a linear state transformation, the unknown control coefficients are lumped together, such that the original system is transformed to a new system for which control design becomes feasible. By employing the input-driven observer, a novel adaptive neural network (NN) output-feedback controller which only contains one adaptive parameter is developed for such systems by using backstepping technique and NNs' parameterization. The proposed control design guarantees that all the signals in the closed-loop systems are 4-moment semi-globally uniformly ultimately bounded.
This paper considers the issues of H ∞ control and memory state feedback stabilization for a class of uncertain time-varying delayed switched singular systems with nonlinear disturbance. Suppose that the uncertain p...
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This paper considers the issues of H ∞ control and memory state feedback stabilization for a class of uncertain time-varying delayed switched singular systems with nonlinear disturbance. Suppose that the uncertain parameters are norm-bounded, sufficient conditions for the existences of robust H ∞ memory state feedback controller in terms of linear matrix inequalities(LMIS) and switching rules are presented based on the generalized Lyapunov function and linear matrix inequality approach, and the designed controllers ensure that the closed-loop systems satisfy the index with a presented H ∞ disturbance attenuation level γ. Then, an illustrative example is solved by using the LMI toolbox in Matlab, showing the effectiveness of the proposed method.
In this paper, we consider fast and desired consensus of directed network via pinning control. First, we provide a sufficient condition for the stability of desired consensus algorithm. Second, we investigate the prob...
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In this paper, we consider fast and desired consensus of directed network via pinning control. First, we provide a sufficient condition for the stability of desired consensus algorithm. Second, we investigate the problem of selecting optimal pinned nodes for driving fastest consensus, which is formulated as an Mixed-Integer Semidefinite Program. Finally, we illustrate all the results by simulating on some typical directed networks.
Quantum neural computing has nowadays attracted much attention, and tends to be a candidate to improve the computational efficiency of neural networks. In this paper, a new quantum neural network (QNN) is proposed bas...
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The human-computer interaction(HCI) is now playing a great role in computer *** study introduces an automatic document control technique which is based on the human hand waving *** recognition of hand movement is real...
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The human-computer interaction(HCI) is now playing a great role in computer *** study introduces an automatic document control technique which is based on the human hand waving *** recognition of hand movement is realized according to the surface electromyography(sEMG).A collector is set on the *** sEMG signal is recorded and conveyed to a PC terminal by using wireless *** automatic algorithm is developed in order to extract the characteristics of sEMG,recognize the waving movements,and transmit to document control *** developed human-computer interaction technique can be used as a new gallery for teaching,as well as an assistant tool for disabled person.
The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements
The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements
This paper focuses on the admissibility condition for fractional-order singular system with order α∈(0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufcient and necessar...
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This paper focuses on the admissibility condition for fractional-order singular system with order α∈(0, 1). The definitions of regularity, impulse-free and admissibility are given first, then a sufcient and necessary condition of admissibility for fractional-order singular system is established. A numerical example is included to illustrate the proposed condition.
作者：
Zhen WangBei WangXingyu WangDepartment of Automation
School of Information Science and Engineering East China University of Science and Technology Shanghai 200237 China Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of Science and Technology) Ministry of Education Shanghai 200237 China
The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements. The recognition...
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The human-computer interaction (HCI) is now playing a great role in computer technology. This study introduces an automatic document control technique which is based on the human hand waving movements. The recognition of hand movement is realized according to the surface electromyography (sEMG). A collector is set on the forearm. The sEMG signal is recorded and conveyed to a PC terminal by using wireless Zigbee. An automatic algorithm is developed in order to extract the characteristics of sEMG, recognize the waving movements, and transmit to document control command. The developed human-computer interaction technique can be used as a new gallery for teaching, as well as an assistant tool for disabled person.
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