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This paper studied the second-order triangle formation control problem, in which there is a fixed sink and two mobile agents. In our setup, the specified triangle is characterized by only interior angles constraints. For each agent, only bearing of the sink, bearing of the other agent and the velocity of itself can be measured in its local frame. Moveover, the mobile agents exchange the measured information...
This paper investigates the problems of observer-based feedback controller synthesis for discrete-time linear systems under bounded peak disturbances. The control objective is to make the system state of the closed-loop system under bounded peak disturbances converges to an ellipsoid that is as small as possible or converges to a pre-specified ellipsoid. In order to determine the observer gain and...
By studying the shortage of the traditional fixed step size least mean square (LMS) algorithm. This paper builds a nonlinear function relationship between μ and the error signal by reviewing the existing algorithm and presents a novel variable step size LMS adaptive filtering algorithm by improving Sigmoid function based on translation transformation. The selective of parameters and the performance...
The control system with fast response speed, high precision of tracking error, and high robust performance is still a kernel technology of Attitude Control System (ACS) of spacecraft, which directly affects the whole performance of spacecraft. Hence, a non-singular Terminal adaptive fuzzy sliding-mode controller is designed to come true the high precision and high performance control. The theory of...
Intriguing analogies were found between a model of plastic deformation in crystals and turbulence in fluids. A study of this model provides remarkable explanations of known experiments and predicts fractal dislocation pattern formation. Further, the challenges encountered resemble those in turbulence, which is exemplified in a comparison with the Rayleigh-Taylor instability.
Traveling salesman problem (TSP) is a well known combinatorial optimization problems. Ant Colony Algorithm (AC) is new Heuristic Optimization Algorithm. It is widely used in TSP. Ant Colony System (ACS) is the improvement of AC, but it is still not enough being perfect, WMASC follows this approach and tries to improve the performance of ACS algorithm by improving multiple ants and the worst ant which...
Chaotic Immune evolutionary algorithm (CIEA) is proposed on the shortage of current algorithms training artificial neural network, biological immune mechanism and the characteristics of evolution. A novel artificial neural network based on chaotic immune evolutionary algorithm (CIEANN) is presented in this paper. The algorithm has the merits of chaos, immunity and evolutionary algorithm. It can ensure...
This paper investigates the process of the Newton Raphson (N-R) method with flat voltage start when it is used for systems with small impedance branches. And find out that the divergence occurs in the cases which both ends of the small impedance branch are connected to PQ buses. Even under the cases with the divergence problem the Jacobian matrix is still nonsingular and the equations are solvable,...
The small impedance branch is a primary factor that results in the divergence of the power flow methods. The study of the methods of power calculation in Newton-Raphson (N-R) method and backward/forward sweep (BFS) method indicates that the method of power calculation together with small impedances may result in the convergence problem. The impact of small impedance branches on the convergence of...
Recent studies on generalized congruence neural network show that such network has fast convergence rate. But the reason is unknown. In this paper, through the analysis on the error function of the generalized congruence neuron, we find that the fast convergence is due to the multiple minima, which is generated by the generalized congruence activation function. This conclusion is verified by two experiments
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