This paper investigates the stochastic stability problem of genetic regulatory networks (GRNs) with multiple time-varying delays. Most of the results on the stability of GRNs with delays are based on a model in which ...
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This paper investigates the stochastic stability problem of genetic regulatory networks (GRNs) with multiple time-varying delays. Most of the results on the stability of GRNs with delays are based on a model in which the delays of the transcription and translation processes for each gene product take the same value. In this paper, we generalized the model to a differential equation with multiple time-varying delays. Sufficient conditions for the stochastic stability of the GRNs with stochastic noise are obtained. Finally, a simulation example is given to show the effectiveness of the proposed results.
This paper studies the finite-time cooperative tracking problem for networked Lagrange systems with a time-varying leader's generalized coordinate derivative. First, a finite-time state feedback control protocol i...
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ISBN:
(纸本)9781457710957
This paper studies the finite-time cooperative tracking problem for networked Lagrange systems with a time-varying leader's generalized coordinate derivative. First, a finite-time state feedback control protocol is proposed for each follower by using only local information, under which the states of the followers are shown to converge to those of the leader in finite time. The results of the static feedback design are then extended to those of the dynamic feedback design. The finite-time cooperative tracking problem of networked Lagrange systems over a directed switching communication topology is proposed. With the help of a so-called finite-time consensus-based observer, we show that cooperative tracking of networked Lagrange systems can be achieved in finite time if the leader has directed information paths to each follower at each time instant and the control parameters satisfy certain conditions.
This paper studies the leader-following consensus problem for a group of agents with identical linear systems subject to control input saturation. We focus on two classes of linear systems, neutrally stable systems an...
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ISBN:
(纸本)9781457710957
This paper studies the leader-following consensus problem for a group of agents with identical linear systems subject to control input saturation. We focus on two classes of linear systems, neutrally stable systems and double integrator systems. For neurally stable systems, we establish that global consensus can be achieved by linear local feedback laws over an undirected fixed or a switching communication topology. For double integrator systems, we establish that global consensus can be achieved by linear local feedback laws over a fixed communication topology and, with the help of a simple saturation function in the local feedback laws, global consensus can also be achieved over a switching undirected topology. Simulation results illustrate the theoretical results.
For a class of uncertain multi-input-multi-output (MIMO) discrete-time nonlinear systems with strong coupling and unstable zero-dynamics, an adaptive generalized predictive decoupling switching control method based on...
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For a class of uncertain multi-input-multi-output (MIMO) discrete-time nonlinear systems with strong coupling and unstable zero-dynamics, an adaptive generalized predictive decoupling switching control method based on unmodeled dynamic compensation is proposed. It is only required that the higher order nonlinear terms of the system to satisfy a linear growth condition, rather than the global boundedness condition widely used. The analysis of stability and convergence of the adaptive control method are performed. Moreover, in designing the nonlinear generalized predictive decoupling controller, we combine the adaptive-network-based fuzzy inference system (ANFIS) training with the "one-toone mapping" technique to adaptively estimate the unmodeled dynamics, so that the universal approximation property of ANFIS can be guaranteed. Finally, simulation results demonstrate the superiority of the proposed method and validate the theoretical analysis.
This paper present numerical modeling of infinitesimal dipole for the purpose of finding irregularities in real time survey data of marine controlled source electromagnetic survey. Algorithm for numerical solution usi...
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This paper present two-dimensional forward modeling of marine controlled-source electromagnetic data for the purpose of hydrocarbon mapping. The forward algorithm employs a staggered-grid finite difference solution to...
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At present, the cooperative operation pattern of manned/unmanned aerial vehicle team has became a focus of international research. To assessment the cooperative effect of manned/unmanned aerial vehicle team, some infl...
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In electromagnetic (EM) geophysical surveys the most revealing description of EM distortion occurs due to heterogeneity of medium. Prior to determine EM field behavior for stratified earth model, there is need to unde...
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ISBN:
(纸本)9781457718823
In electromagnetic (EM) geophysical surveys the most revealing description of EM distortion occurs due to heterogeneity of medium. Prior to determine EM field behavior for stratified earth model, there is need to understand EM field behavior for topography and single interface model. This study involve ingle interface model which embodies two very different situations of conductive and non-conductive half space using finite-element (FE) method. The efficient and accurate modeling is used to calculate the EM field at interface with topography of layered media. The finite element algorithm is implemented in MATLAB and results obtained are also discussed in this chapter.
This paper examines robust partially mode delay dependent H ∞ output feedback controller design for discrete-time systems with random communication delays. A finite state Markov chain with partially known transition ...
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