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The sliding mode control (SMC) problem is investigated for a discrete time-delay nonlinear systems with uncertainties and packet losses. The uncertainties may occur randomly and be assumed to be norm-bounded. The delays are time-varying but bounded functions. Firstly, under the assumption that the dropout probability is known, the states of the system are constructed, and the sliding mode function...
This paper investigates the sliding mode control of three-phase voltage source PWM rectifier (VSR). When the three-phase VSR system is applied in different environmental conditions, external disturbances are inevitable and stochastic, so these conditions should be taken into consideration when designing the controllers. To have a good performance and a fast response, the whole closed loop control...
Aiming at the chattering problem of sliding mode control systems for brushless double-fed machines (BDFM), a control strategy named as high order sliding control with chattering avoidance is presented. A feedback linearization technology was adopted for the nonlinear model of BDFM. The results show that compared with traditional sliding mode control, high order sliding control can remove system chattering...
Variable universe fuzzy control based on intelligent control technology is proposed in this paper for the hypersonic flight process of nearspace vehicle (NSV) with severe changes of aero-dynamic parameters and susceptibility on the external disturbances. And the contraction-expansion factor of the fuzzy control is given to modify the scale of universe and reduce the computational cost. By adopting...
The quaternion theory is used to describe the attitude of spacecraft based on the analysis for several typical description methods of kinematic and dynamic equations and the system model for the attitude of spacecraft is built. The control law design for spacecraft attitude based on non-singular terminal sliding mode control algorithm is proposed using the coupling between kinematic and dynamic equations...
Czochralski (CZ) method based silicon crystal furnace is the main equipment to produce the solar cells silicon material. To meet the technological requirements of the silicon material for the solar photovoltaic industry, this paper introduces the role of mono-crystal silicon in the solar photovoltaic industry, and studies some key control issues in the silicon crystal growth process. Important achievements...
Cluster synchronization of delayed neural networks with randomly formed clusters is investigated. In this paper, a distributed approach is proposed to make a delayed neural network achieve cluster synchronization. Furthermore, the coupling strength between nodes adopts locally adaptive strategy, which is only based on its local information. A sufficient condition about the global stability of cluster...
This paper focuses on the problem of cluster synchronization of a class of complex dynamical networks. Based on impulsive control theory and a comparison theorem, generic criteria for cluster synchronization are derived. It is shown that these criteria provide a novel and effective control approach to synchronize a general dynamical network to a cluster synchronization manifold by exposing the relationship...
This paper considers the global convergence of a class of nonlinear dynamical networks, and the subsystems are discrete time pendulum-like systems. Different from most of the existing results, two kinds of interconnections are considered in view of the fact that the subsystems of networks may have more than one kind of interconnection between each other. The Kalman-Yakubovich-Popov (KYP) lemma and...
This paper introduces a hybrid algorithm combining discrete harmony search (DHS) and iterated local search (ILS) for solving the multi-objective resource allocation problem (RAP). Two objectives are considered simultaneously, i.e. minimization of the overall cost and overall efficiency. The harmony search algorithm is used to conduct the global exploration task, while the iterated local search performs...
The paper investigates the second-order leader-following consensus problem of nonlinear multi-agent systems via adaptive pinning control. Based on graph theory and the neighbor-based coupling rule, the adaptive pinning control strategy is proposed, the consensus condition is derived in terms of linear matrix inequalities. It is worth noting that this paper addresses that what kind of agents and how...
In this paper, coordinating technique for the multi-layer model predictive control (MPC) of complex water network is proposed. A multi-layer topology structure resulting from a functional decomposition of water network is briefly presented. Inside each layer, a MPC based controller is used. Between the related two layers, a multi-layer coordinating mechanism is provided to generate control strategies...
Fractional order control theory was the summary and supplementary of traditional control theory of integer order. It made traditional classical control theory can be simulated and robustness more. So there was fractional order PID control theory which integrated with Fractional Calculus and PID control algorithm. First, integer order PID controller and fractional order PID controller were designed...
This paper discusses parameter estimation problems of the multi-input multi-output systems described by input-output difference equation models. A maximum likelihood stochastic gradient algorithm with a forgetting factor is proposed for each subsystem. The effectiveness of the proposed algorithm is verified by a numerical example.
Nonlinear, time-varying and uncertainty matter is an important issue in order to improve conventional PID control technology due to the rapid development of control technologies for a wide range of industries. Artificial neural PID controller such as the single neural PID controlling is a current interesting research topic because of its potential ability of auto-tuning by simulating the human brain...
In this paper, we present a new adaptive backstepping control design method to solve the overparametrization problem in parameter estimation. Unlike the existing schemes, the concept of tuning functions is not introduced. However, the number of parameter estimates is reduced to be minimal, which is exactly the same as that of unknown parameters. The parametric strict-feedback system is employed to...
By using non-Hermitian random matrix theory, the spectra of adjacency matrices of directed complex networks are analyzed. Both the short-range and long-range correlations in the eigenvalues are numerically calculated for typical directed complex networks and compared with the predictions of Ginibre's Ensemble. The spectral density ρ(λ), the nearest neighbor spacing distribution p(s) and the number...
The paper examines reducibility/irreducibility of Flouqet factorizations and explicates their relationship with controllability in finite-dimensional linear continuous-time periodic (FDLCP) systems. Reducibility/irreducibility of Floquet factorizations reflect numeric aspects of the transition matrix representation in FDLCP systems that can be attributed to matrix logarithm, which remain unnoticed...
Spectra and eigenstates of the adjacency matrix of a complex network provide many important information about its structure and dynamics. By mapping the adjacency matrix of a small-world network to the Hamiltonian of a quantum system, the statistical properties of the spectra and the localization of eigenstates are analyzed. Theoretical analysis and numerical results show that the spectrum corresponding...
Synchronization of high-order discrete-time complex networks with time-varying delays and undirected communication topologies are investigated. Firstly, synchronization problems are converted into asymptotic stability ones, and the necessary and sufficient conditions for synchronization are presented. Based on the linear matrix inequality (LMI), sufficient conditions for synchronization are proposed...
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