Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
The guaranteed performance consensus for multiple agents with Lipschitz nonlinear dynamics is investigated by using the delayed consensus protocol. Based on state errors between the one agent and the other agents, the performance function is introduced to describe the consensus regulation performance. The problems are transformed into guaranteed performance stabilization problems by using a matrix...
This paper addresses the robust non-fragile leader-following consensus problem for multi-agent systems against state-dependent uncertainties and controller coefficient variations. Without the requirement of knowledge of uncertainties of agents and controllers, adaptive distributed controllers are constructed to guarantee the follower agents tracking the leader agent. Asymptotic consensus results of...
This paper presents a graph-based direct approach for distribution systems with PV nodes. The contribution of this paper mainly includes two points: First, without building the bus-injection to branch-current (BIBC) matrix and the branch-current to bus-voltage (BCBV) matrix, we based on graph theory develop an uniformed formulation between bus current injections and bus voltages for both radial and...
A transient is defined as a process where a system transforms into an abnormal state from a normal state. In order to enhance safety and achieve greater economic benefits, it is very important to detect and identify transients in a timely manner during the operation of nuclear power plants. Thus, according to the ideas employed in image processing and photo retouching, we propose a novel method for...
This paper investigates the problem of the fault isolation for Takagi-Sugeno (T-S) fuzzy systems. Based on set theory, the residual signal can be unaffected by the fault, which is to be isolated, then, the fault can be isolated successfully. In addition, the fault isolation performance can be enhanced by considering H−/H∞ performance index. Furthermore, based on the linear matrix inequalities (LMIs)...
This paper studies the static output-feedback control in a class of linear networked control systems and an improved adaptive event-triggered strategy is designed to save the limited network bandwidth. Different from the existent methods, the proposed event-triggered strategy can relax the assumption of the prior works that the threshold of event-triggered communication scheme is a preselected constant...
This paper is concerned with the numerical simulation and optimization problem for inerter-based suspension struts for double wishbone vehicle suspension. A well-established double wishbone vehicle model is modified to facilitate the inerter-based suspension simulation based on Simulink/SimMechanics. The obtained SimMechanics model is inherently nonlinear and the simulation is time-consuming. Therefore,...
This paper focuses on the event-triggered dissipative reduced-order filter design problem for continuous-time Takagi-Sugeno (T-S) fuzzy systems. Firstly, the sufficient conditions are given to ensure the concerned filtering error system is asymptotic stability with (X, Y, Z)-θ-dissipative performance by utilizing the reciprocally convex approach and a novel Lyapunov-Krasovskii function. Afterwards,...
This paper investigates the semi-global practical stabilization for second-order nonlinear systems subject to unknown control coefficients and completely unknown nonlinear function. In order to achieve the control objective, a state feedback controller is firstly constructed to ensure that systems under consideration satisfy uniform Lyapunov property. Then, based on output feedback domination method,...
This paper studies the stability and stabilization of switched Boolean networks (SBNs) with impulsive effects. The dynamics of SBNs with impulsive effects is converted to an algebraic form, based on which, some criteria are presented for the stability of SBNs with impulsive effects. These conditions include the arbitrary switching signal case and the state feedback switching signal case. In addition,...
Reactor, Storage-tank, and Separator (RSS) is a complex chemical process which contains a lot of factors influencing the control performance, and the Networked Distributed Model Predictive Control (NDMPC) strategy can solve the problem of improving the global performance for Large-Scale Industrial Process (LSIP) under Distributed Model Predictive Control (DMPC) strategy while compensate for the time...
Networked Distributed Model Predictive Control (NDMPC) is an effective control strategy which is usually used to control large-scale industrial processes with multi-variable coupling. However, data transmission and information exchange are carried out through the network in this control system, it will inevitably appear the phenomenon of network time-varying delay and data packet dropout, which will...
This paper propose an asynchronous impulsive control scheme for consensus of second-order multi-agent systems. The proposed control scheme do not require time synchronization among agents. Each agents has its won clock to determine the impulsive instants. By using discretization approaches and the stochastic matrix theory, it is find that the stability of the proposed control scheme depends on the...
This paper deals with the problem of neural network delay control for an idealized offshore platform system. Two neural networks (feed-forward neural network and nonlinear autoregressive neural network) delay controllers are proposed to the vibration control of the offshore platform under external wave force. It is shown through simulation results that the designed neural network delay controllers...
In this paper, the stability problem of bilateral tele-operation systems with data sampling and communication time delays is considered. Two buffers are introduced in the bilateral teleoperation control framework to deal with the issue that the information transmitted between the master and slave sides suffer from time-varying delays. The mathematical model of bilateral teleoperation systems based...
Recently, an efficient damped pseudo transient analysis method was proposed to find DC solutions for nonlinear circuits. However, the simulation efficiency is still not satisfactory. In this paper, for different kinds of circuits, we get some groups of PTRAN algorithm control parameters values by using a parameter optimization algorithm for pseudo-transient analysis to obtain higher efficiency during...
This paper investigates the H2 control problem for a class of periodic Markov jump systems with repeated scalar nonlinearities. Under the assumption on the nonlinear function and the framework of positive definite diagonally dominant Lyapunov function method, a sufficient condition is given to ensure the stochastic stability of the closed loop system with a prescribed H2 performance index. By the...
Financial time series prediction is remains a challenge, due to the nonstationary and fuzziness financial data. In this paper, we propose and achieve a hybrid financial time series model by combining the Maximum Entropy (ME), Support Vector Regression (SVR) and Trend model based on Artificial neural networks (ANNs) for forecasting financial time series. The method contains three steps. The first step...
Presenting a coordinated control algorithm that takes into account both electric stability control (ESC) and drive force assisted steering (DFAS) performance. It introduces the correction factor ki of the driving force when driving the power steering, which designed by fuzzy control the factor with the different vehicle attitude and conditions of the rules of change, and finally the basic control...
This paper develops a linear parameter varying(LPV) based robust model predictive control(MPC) method for a multi-vectored airship, the speed of the forward flight channel is considered. The nonlinear model of the airship is introduced with kinematics and dynamics. Then, in order to obtain the LPV models, the small perturbation linearization method is used. After that, the higher order singular value...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.