In this paper, a nonlinear chaotic system is presented, which is derived from the chua's circuit with a memristor. This is a four-dimensional autonomous circuit which exhibits chaotic behavior. The chaotic system ...
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Speckle is a granular noise that inherently exists in all types of coherent imaging systems. This paper presents a quantitative study on five despeckling methods such as frost filter, kuan filter, speckle reducing an ...
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Heart rate (HR) signal analysis is widely used in the medicine and medical research area. Physical activities (PA) are commonly recognized to greatly affect the changes of heart rate. A method of Evolutionary Neural N...
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An Echo State Network (ESN) based predictive control method for aircraft system is proposed to increase the flight quality. Aerocraft is a nonlinear and time-varying system and its controllers are usually designed by ...
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The analytical algorithm of program quaternion is studied, aiming at the problem of the arbitrary spacecraft attitude-adjusting control. It also provides the analytical constructor method of the program quaternion for...
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In this paper, we formulate and investigate a memristor-based switching network which is directly extended from Itoh and Chua's chaotic circuit. Conditions are derived which ensure the existence of an equilibrium ...
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Reentry trajectory optimization is a multi-constraints optimal control problem which is hard to solve. To tackle it, we proposed a new algorithm named CDEN(Constrained Differential Evolution Newton-Raphson Algorithm) ...
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Reentry trajectory optimization is a multi-constraints optimal control problem which is hard to solve. To tackle it, we proposed a new algorithm named CDEN(Constrained Differential Evolution Newton-Raphson Algorithm) based on Differential Evolution(DE) and *** transform the infinite dimensional optimal control problem to parameter optimization which is finite dimensional by discretize control parameter. In order to simplify the problem, we figure out the control parameter's scope by process constraints. To handle constraints, we proposed a parameterless constraints handle process. Through comprehensive analyze the problem, we use a new algorithm integrated by DE and Newton-Raphson to solve it. It is validated by a reentry vehicle X-33, simulation results indicated that the algorithm is effective and robust.
A method based on multi-agents and ANN(Artificial Neural Network)was proposed to solve the pursuit-evasion task in continuous timevarying *** to this method,several autonomous agents with 8 circular sector sensors and...
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A method based on multi-agents and ANN(Artificial Neural Network)was proposed to solve the pursuit-evasion task in continuous timevarying *** to this method,several autonomous agents with 8 circular sector sensors and an ANN controller were used to form a coordinated behavior to capture the *** evolve the controller,NEAT(Neuro Evolution of Augmenting Topologies)and PSO(Particle Swarm Optimization)method were used to optimize the *** simulation experiments show that both methods can successfully evolve the controller to capture the evaders,while NEAT requires less swarm members and consume less time comparing to PSO method.
Transient faults are hard to be detected and located due to their unpredictable nature and short duration, and they are the dominant causations of system failures, which makes it necessary to consider transient fault-...
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In formal language theory of two-dimensions, 2D picture grammars are powerful tools to generate picture languages. In this work, we incorporate the idea of membrane systems (also called P systems) into 2D picture gram...
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In formal language theory of two-dimensions, 2D picture grammars are powerful tools to generate picture languages. In this work, we incorporate the idea of membrane systems (also called P systems) into 2D picture grammars, thus introducing a new kind of picture language generating devices, named P systems with 2D picture grammars. Inspired by the structure and functioning of living cells, such a system has a hierarchical membrane structure, symbol array objects and evolution rules of 2D picture grammars. In each region delimited by the membrane structure, array objects can evolve in a parallel manner according to evolution rules present in the region, like the way biochemical objects evolve in living cells or organisms. The computational result of P system with 2D picture grammars is the set of pictures (rectangular arrays) present in a specific output membrane when the system halts. We obtain several comparison results, which show that with the membrane structure, the generating power of Siromoney matrix grammar, 2D context-free grammar and basic puzzle grammar can be enlarged.
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