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This paper investigates the synchronization of fractional-order general complex dynamical networks with coupling delay. Based on the stability theory of the fractional-order system, the sufficient criteria for synchronization are derived analytically by applying the linear control methods. The proposed synchronization method is applicable to almost all kinds of coupled fractional-order general complex...
This paper has proposed a design for networked control systems with random time delays and packet dropout in the forward communication channel by using fuzzy theories. First, a simple predictive model was built by means of fuzzy cluster modeling technology and neural network approximation. Then, a prediction oriented fuzzy sliding mode controller was presented to obtain the future control actions'...
Small input delay is always ignored for designing a simple controller in many practical applications. However, this paper will tell us that small input delay have a significant impact on high-frequency vibration system, the amplitude of the high-frequency vibration system will be greatly enlarged even if the input delay is small enough. For explaining such viewpoint, a vibration system with high natural...
This paper deals with the control of simple process models where multiple time-delays appear. These delays can be input, output or state delays. For the case of input/output time-delays, a general solution is retrieved from the literature. For state time-delays, the scalar case is considered and a pre-compensator is used to cancel the delay. The proposed algorithms are applied to the control of a...
In this paper, a new method is presented for identification of single-input single-output (SISO) nonlinear systems with long time delay. The proposed dynamic extreme learning machine (DELM) is different from extreme learning machine in that it adds adaptive delay parameters in the output layer of the network, and the delay parameter is optimized by use of particle swarm algorithm. The dynamic extreme...
This paper investigates the problem of mean square finite-time passivity for discrete-time Markov jump neural networks with time delays and stochastic perturbations. In the measurement equation, a class of sensor nonlinearities are considered, which cover the standard Lipschitz condition as a special one. A sufficient mean square finite-time boundedness condition is established based on Lyapunov-like...
This paper investigates the stochastic finite-time stability (SFTS) problem for a class of Markovian jump nonlinear systems with time delays. The nonlinear terms are assumed to satisfy the Lipschitz conditions, and the time delays are modelled by mutually independent stochastic variables subject to Bernoulli distributions. The aim of our work is to design a set of linear feedback controllers such...
This paper deals with the H∞ finite-horizon filtering for discrete piecewise linear systems with infinite distributed delays and quantization effect. The modes and their transitions of augmented piecewise linear systems are formulated. The quantisation phenomenon is described by the logarithmic function and the time delays are assumed to be randomly occurred and infinitely distributed in the discrete-time...
This paper is concerned with the multi-sensor optimal information fusion issues for discrete-time systems with random delayed which is time-stamped. The random delayed system is reconstructed as an equivalent delay-free one by means of the measurement reorganization technique when the random delay is time-stamped. Based on the altered system model, firstly an optimal linear filter is presented for...
The ELM is used to predict the delay, and combines with implicit generalized predictive control (IGPC) to compensate time delay in this paper. The random time-delay in the networked control system (NCS) can usually deteriorate the control performance and stability of networked control system. In order to solve this problem, this paper puts forward the networked time delay in a short time based on...
In this paper, we consider robust stability analysis of a networked system with uncertain communication delays. Each subsystem of these systems can have different dynamics, and interconnections among the subsystems are arbitrary. It is assumed that there exists an uncertain but constant delay in each communication channel. Based on the integral quadratic constraint (IQC) framework, a sufficient robust...
This paper studies the networked control systems (NCSs) with bilateral time-varying delay and packet dropout, and proposes a novel active time-varying sampling period switched control method to make the system stable. Firstly, the event and time-driven sensor is adopted, and its variable sampling period is designed to follow the change of time delay and packet dropout simultaneously. Then the discrete-time...
This paper studies the finite-time state estimator design of static neural networks with Markovian jumping parameters and mixed delays. The Arcak-type estimator is designed via introducing additional control terms in the domains of activation functions. Its advantage is that the role of gain coefficients of the activation functions on this issue can be analyzed. A linear matrix inequalities based...
Time delays are widespread in power systems since communication networks can be used to send and receive information. In this paper, the influence of time-varying and constant delay on the stability of single area load frequency system is investigated. A comparative method to handle delay margins is presented. The maximum delay time when a power system is embedded into a steady state is treated as...
The proposed work develops a methodology to design a state feedback-two term (2T) controller via composite nonlinear feedback (CNF) controller for reference tracking of multivariable linear time delay system in presence of input saturation. Basic composite nonlinear feedback (CNF) controller only deals with present state whereas 2T controller deals with present and past both the states. Comparative...
In this paper, we present a generalized lag synchronization-based method to identify the exact topology of uncertain complex networks with time delay and noise perturbation. By designing new controllers and novel adaptive identification rules, the unknown topological structure of the network is successfully identified in the process of synchronization. Meanwhile, we discuss the effect of time delay...
In view of the problems in the maintenance and deployment of wired sensor networks in industrial environment, this paper propose the application of wireless sensor networks to industrial control network. In consideration of the interference of the wireless sensor network and the obstruction of the barrier, a wireless sensor network model for multi hop wireless sensor is established based on S-MAC...
In the recent days Fast Adders are implemented to increase speed, reduce delay, besides being cost effective. Several architectures and implementations of binary adders, gates, etc. were used in the past. But it was leading to complexity of the structure and also obscurity in implementation. In the proposed research paper implementation of Carry Look-ahead Adder (CLA) using Fast Adder for signal processing...
This paper mainly concentrates on the consensus problem of the single integrator multi-agent systems with unbounded time-varying transmission delays and fixed directed topology. We show that the consensus problem can be solved under the spanning tree assumption and the no-cycle assumption. We characterize the no-cycle assumption and prove the consensus of multi-agent systems with an induction procedure...
Bilateral teleoperation is a robotic system helping humans to work with the remote environment through a dual robot which includes a local robot and a remote robot operating with considerable time delays. In order to overcome this obstacle, beside the proposed wave variables and scattering approaches [1], [2], the conventional methods without wave variables has been pointed out in [3], [4] with constant...
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