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The pseudo random property of chaotic sequences is very useful in the field of information security, based on the idea of orbit hopping, a chaotic image encryption algorithm with a key mixing proportion factor is proposed. In the proposed algorithm the position scrambling matrix and the value scrambling matrix are generated by the improved chaotic logistic sequences. A key mixing proportion factor...
A new leader-guarding consensus problem for heterogeneous multi-agent system with switching topology in discrete-time domain is investigated. First, a new discrete-time model of heterogeneous and mobile multi-agent system with a motile leader and variable topology is established, where the location information of the active leader is completely known but the acceleration information may not be measured...
This note investigates the consensus problems of a system with one leader and multi-followers. Decentralized controllers are designed for continuous-time autonomous follower described by one or double integrator respectively. Sliding mode control technique is adopted to realize the consensus of the system in which the followers have general dynamics. A sufficient condition to make all the followers...
This paper researches the robust control stabilization problem of a continuous nonlinear system with time-invarying delays in the state vector. A sufficient condition of the system stabilization is achieved through radial basis neural network (RBF) approximating unknown function, and an adaptive neural controller of time-delay independent is obtained. A good result is got for the stabilization control...
A method for identifying nonlinear systems is presented, which is based on fuzzy cluster and orthogonal least square method. First, the nonlinear dynamic systemic T-S fuzzy model with this method is identified. Then the predictive controller is designed based on this model. The simulation results indicates that the algorithm is effective and applied, which has the characteristics of fast tracking,...
The problem of uniformly bounded stability of a class of special uncertain nonlinear systems whose uncertain terms contain state, unmeasured state, control input and output is considered. When the unmeasured state is input state practical stability (ISPS), we can get a general result of the uniformly bounded stability of the systems through designing observer of the systems which gain can be obtained...
A new control method based on potential function is presented, which can effectively control the movement of multi-agent system with multiple leaders. The system includes two kinds of agent: leader and follower. Leader has the knowledge about the environment and is attracted by the object, but follower is only affected by the information about the neighbor. To make the system to the anticipation,...
As an alternative to genetic algorithm, particle swarm optimization (PSO) is a new population-based evolutionary technique and has been attracting much attention to apply in different fields, such as nonlinear programming problems and neural network training. In this paper, a novel time-varying adaptive constrained predictive PID controller via PSO is proposed. This is based on the optimization of...
Elman networks’ dynamical modeling capability is discussed in this paper firstly. According to Elman networks’ unique structure, a weight training algorithm is designed and a nonlinear adaptive controller is constructed. Without the PE presumption, neural networks controller’s closed-loop properties are studied and the whole Elman networks’ passivity is demonstrated.
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