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In this paper consensus control of autonomous vehicle platoon is investigated for connected vehicle systems (CVSs) with time delays. Information interaction of the CVSs can be modeled as a network topology. The network topology is extended into the generic framework adapting to any topology, which is represented by a Laplacian matrix. Based on the generic framework, the distributed control protocols...
This paper considers the stabilization problem for a harmonic oscillator system under positive delayed velocity feedback control. By using the τ-decomposition technique and imposing a simple constraint on the feedback gain, some necessary and sufficient conditions are established such that the harmonic oscillator can be globally asymptotically stabilized if and only if the time-delay for the control...
In this paper, the reachable set estimation problem is investigated for Markovian jump neural networks (NNs) with time-varying delays and bounded peak disturbances. Our goal is to find a set as small as possible which bounds all the state trajectories of the NNs under zero initial conditions. In the framework of Lyapunov–Krasovskii theorem, a newly-found summation inequality combined with the reciprocally...
Frequency-domain criterion on containment control for general linear multi-agent systems with time delay is studied under the directed network topology. A distributed protocol with time-invariant delay is proposed. When time-delay is an unknown constant, frequency-domain criterion on containment control of general linear multi-agent systems with delay is obtained, and an upper bound of delay is given...
In the part of geophysics researches, the method Double Beam Forming (DBF) was found for separating the surface waves from the seismic waves. According to one of the kernels of DBF : extraction of group velocity and phase velocity, this paper benefit from this idea and concentrate on the time delay estimation (TDE) which is one of the key techniques in the array signal processing. The sound velocity...
This paper is concerned with the exponential lag anti-synchronization for a class of memristive neural networks with multiple time delays. By utilizing discontinuous control theory, several new sufficient conditions concerning exponential lag anti-synchronization are obtained. The obtained results complement and extend earlier publications on memristive or conventional neural networks. Finally, numerical...
This paper considers the problem of output feedback stabilization of a class of stochastic nonlinear systems with time-varying delay. With the aid of feedback domination technique and the Razumikhin-type theorem, an output feedback controller is designed to drive the closed-loop system globally asymptotically stable in mean square. The main contributions are two folds: 1) Remove the slowly varying...
A fuzzy codesign approach is proposed to deal with the controller — scheduler design for a networked control system which is physically distributed using a shared communication network. In the proposed approach, a fuzzy controller is applied to generate a control law for different sampling periods, the configuration supposes a strict actuation period vanishing the jitter. A neural uncertainty estimator...
This paper investigates multiuser detection for an uplink asynchronous machine-to-machine system with massive number of machine type communication devices (MTCDs). The goal is to detect the device activity, time delay, channel gain and transmission data for a grant-free three-phase access scheme where each MTCD first transmits its pilot sequence, then remains silent for a period of time, and finally...
In this paper we develop a non-intrusive model-based catalyst monitoring algorithm that operates by determining the magnitude of the catalyst's frequency-domain transfer function in a specific range of frequencies corresponding to a small-amplitude square-wave input command. This method requires the calibration of two parameters within a simple catalyst model consisting of a system gain, a time delay,...
This paper deals with the problem of complex spatio-temporal networks, which is modeled by coupled partial integro-differential equations (PIDEs). A spatial proportional-integral-derivative (SPID) state-feedback controller is studied. With Laypunov direct method, a sufficient condition on synchronization of the complex PIDE network is investigated in terms of linear matrix inequality (LMIs). Finally,...
Drastically growing trend of DC power utilities is subsequently enhancing the need of better protection techniques which are hampered by less reliable fault detection methods. This paper presents a DDL based algorithm for short circuit current detection in a DC circuit breaker (DCCB). The algorithm is based on rise rate and increment parameters of the current. Viability of the algorithm is theoretically...
In this paper, the problem of positive observer design of linear positive systems is studied. This paper aims to providing new design approaches for positive observers of linear positive systems. First, an efficient continuous-time positive observer design approach is proposed by using linear programming such that the observer error system is exponentially stable. Then, the results are also extended...
This paper designs a boundary controller for a reaction-advection-diffusion equation on the cylindrical surface with input delay. We introduce a transport partial differential equation (PDE) to remove the input delay by transforming the time delay into a spatial travelling. Then the system with time delay turns to a cascade system composed of two PDEs without delay. For the cascade system, we design...
Under the weaker assumption on the drift and diffusion terms, this paper proposes a new parameter-dependent state-feedback controller design scheme for a class of stochastic time delay systems. On the basis of stochastic time delay system stability theory, by tactfully choosing a suitable Lyapunov-Krasovskii functional (LKF), the proposed controller can ensure that the closed-loop system is globally...
In this paper, based on minimum-time consensus, a distributed algorithm is proposed to solve economic dispatch problem (EDP). Firstly, The EDP is transformed to the average consensus problem and the ratio consensus protocol is utilized to address the average consensus problem over unbalanced directed topology. The proposed algorithm is implemented in a fully distributed fashion without using any global...
Based on Cloud Computing, Networked Control Systems and Internet of Things, the concept of Cloud Control Systems is proposed to handle complex and high-intelligent systems with mass data. This paper is concerned with cloud control systems based on data-driven predictive control, which is designed by applying the subspace matrixes method. The proposed algorithm can provide accurate real-time control...
In this paper, the exponential stability of a class of bi-directional associative memory (BAM) neural networks with recent-history distributed delays is considered. By constructing suitable Lyapunov functional, we derive several sufficient conditions for the globally exponential stability of the equilibrium point of the system. The results of this paper are new and different from previously known...
This paper is devoted to local stabilization for continues-time T-S fuzzy systems with time-varying delays. A new Lyapunov-Krasovskii functional which is dependent on the membership function is proposed to derive the main results. Since the time derivative of the membership function is considered, larger delay bound can be found in this paper the ones in the literature. In the end, an example is given...
This paper is concerned with the stability analysis of networked control problems for polynomial systems. Owing to existing network-induced random delays of the forward and feedback communication links in a direct-drive control system, the input signals have time-varying delays. Based on the Lyapunov functional and by utilizing the Jensen inequality technique, the controller can be computed in terms...
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