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This paper investigates the generalized nonlinear resilient H∞ filter design problem for discrete-time systems with uncertain and nonlinear parameters. The uncertain parameters are assumed to have norm-bounded form and the nonlinear parameters are assumed to have Lipschitz form. We aim to design a generalized nonlinear resilient H∞ filter such that the stability and the H∞ performance of filtering...
This paper studies the average consensus problem for a discrete-time multi-agent system with first-order dynamics, we provide the sufficient and necessary stable condition that the step-size needs to satisfy for the multi-agent systems with an iterative method, and the cause of oscillation is investigated with use of matrix diagonal and eigenvalue analysis method. Some conclusions about the largest...
As renewable energy is intermittent and randomly distributed, it is difficult for energy harvesting enabled networks to reliably supply the time-varying mobile traffic. We propose a brand new approach of energy sharing and load shifting to overcome this issue. In this paper, we first investigate the user association (UA) problem with energy cooperation to minimize the grid energy expenditure of heterogeneous...
In this paper, on the basis of sliding mode control theory, a new integral tangent adaptive fuzzy sliding mode control for aircraft engine was proposed. Based on the uncertainty model of aircraft engine, a hyperbolic tangent integral sliding surface was constructed at first, and it effectively overcome the problem of integral saturation effect which was often occur in the traditional integral sliding...
In this paper, a completely numerical simulation model of a tilt rotor helicopter is established. Based on the hierarchical and modular modeling principles, the whole simulation model is finally realized on the Simulink platform. Then a sliding mode variable structure controller based on expansion state observer (ESO) is designed in order to realize the attitude control of this nonlinear and strong...
This paper proposes a kind of hierarchical fault-tolerant controller design methods for networked control systems subject to input saturation and actuator failures. The structure of the whole system includes an alarm signal generator and a hierarchy fault-tolerant controller. The alarm signal is used to invoke the controllers with different hierarchy levels of failures. Besides, in order to save the...
This paper studies the adaptive position and velocity tracking control for high speed train with asymmetric nonlinear input saturation. Adaptive tracking control for high speed train encounters great challenges when the train dynamics containing nonlinearities, asymmetric input saturation and unknown external disturbances. An adaptive tracking control method is developed by means of sliding mode technique...
This paper is devoted to the non-fragile H∞ filter design for discrete stochastic Markov jump systems against intermittent measurements. The measured outputs may be lost among the transmission from the plant to the filter. This phenomenon is modeled via a stochastic variable, which satisfies the Bernoulli random binary distribution. Without extra structure constraints on the introduced variable matrices,...
We proposed two adaptive control methods for speed control of brushless direct current(BLDC) motor disturbed by two kinds of disturbances in this paper. The dynamic model of BLDC motor possessing either parametric uncertainties disturbed by unknown with known bound external disturbances or parametric uncertainties disturbed by unknown with known structure model external disturbances is considered,...
In this paper, an implicit iterative algorithm is developed to obtain the unique positive definite solution of the generalized algebraic Riccati matrix equation. For this proposed algorithm, there exisits a tuning parameter which can be chosen such that this algorithm achieves better convergence performance. Some convergence results are given for the proposed algorithm. Moreover, an approach is also...
The three-phase current source inverter has the characteristics of accurate current control, high dynamic response speed and strong current limiting ability, and the DC side voltage can be adjusted from zero. In this paper, the three-phase current source inverter topology is studied, the mathematical model of the converter is established in the three-phase static coordinate system and two-phase rotating...
With the popularity of the concept of green energy, reducing the harmonic pollution of power equipment to power grid has become an important research topic in the field of power electronics. This paper takes three-phase current-source PWM rectifier system as the research object, and it presents a current-source PWM pulse signal tri-logic control method, and puts forward a pre-modulation method. Then...
An approach is proposed to reasoning problems based on Petri nets (PNs). First, a method is presented modeling a world by describing Boolean variables as PN loops. Second, an algorithm is introduced to rearrange inference rules as conjunctive normal forms (CNFs), and, in turn, CNFs are transformed into linear constraints. Consequently, a knowledge base system (KBS) PN is obtained by designing monitor...
In the study of multi-robots cooperative control, the design of the multi-robots cooperative platform is an important topic. To solve this problem, This paper builds a Multi-smart car collaborative control experiment platform based on visual location. The platform obtains real-time moving images of all smart cars according to the global infrared camera, and Combined with the infrared light on the...
In this paper, we focus on containment control problem for discrete-time multi-agent systems (MASs). More specifically, the MASs are nonlinear systems and they are modeled by discrete-time Takagi-Sugeno (T-S) fuzzy systems. A fuzzy control protocol with a nonlinear feedback control law in each control rule is introduced, which is based on the data collected from the local agent and its neighbors....
In this paper, based on pre-existing control-oriented model (COM), considering the aerodynamic coefficients suffer to stochastic perturbation, a new control model of the longitudinal dynamics with stochastic perturbation is obtained. Furthermore, by using radial basis neural networks (RBFNNs) and backstepping technique, an adaptive longitudinal control scheme is proposed for near space vehicles (NSVs)...
For the evaluation of station importance in transportation system of railway, firstly the weighted railway passenger bipartite network model was established according to the idea of the transport capacity between the different traffic units and connection relation between the traffic units and their stations. Based on previously mentioned network model, a resource allocation algorithm was proposed...
Inspired by potential application in power systems and a fully distributed primal-dual method, we investigate how a novel distributed optimization algorithm can be used to solve the dispath response problem in power systems with a distributed manner, whose main target is to minimize the generation cost of the whole network. The problem we study here can be formulated as a kind of optimization problem,...
This paper is concerned with the problem of optimal state estimation for multi-delay wireless network systems with nonzero-mean processes and measurement deviation under multiple packet dropouts. The orthogonal projection principle and reorganized innovation analysis approach are used to address the proposed problem. m + 1 Riccati equations of same dimension are given to solve the Kalman filter parameters...
Analog signal sampling is one of the most fundamental topics in engineering sciences. The classical Shannon theorem is proposed for the band-limited signals, and so far it has been a cornerstone in signal processing and communication theory. In this work, we present a group of local time domain theorems for sampling differentiable continuous analog signals through Lagrange interpolation, and show...
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