In the paper we recover the static characteristic of Wiener-Hammerstein (sandwich) system from inputoutput data. The system is excited and disturbed by random processes with arbitrary distribution. Two kernel-based es...
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In the paper we present a new method for solving optimal control problems of a class of hybrid systems. We describe the new effective algorithm based on memetic algorithm (MA) for optimal control of switched systems. ...
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ISBN:
(纸本)9781457718687
In the paper we present a new method for solving optimal control problems of a class of hybrid systems. We describe the new effective algorithm based on memetic algorithm (MA) for optimal control of switched systems. We concentrate on a class of problems in which a pre-specified sequence of active subsystems is known. Our aim is to find both the optimal switching instants and the optimal continuous inputs. The new approach, which we propose, decomposes the cost functional of the basic optimal control problem in Bolza form in two terms. The first term depends explicitly on a value of state variables at the final time. The second term depends on state and control trajectories. In oreder to solve those two tasks we used MA as the multi-objective optimization algorithm. In this paper we considered a fundamental bi-criteria case with two mentioned before functions: the value of state variables at the final time and the state and control trajectories. In order to find an approximation of Pareto frontier, we proposed new effective method based on genetic algorithm (GA) and local search (LS). Problems properties were taken into consideration in the design of our new approach of solving it. They were used to construct new algorithm inspired by the LS NSGA-II, which performed rather well in multi-criteria scheduling problem. Since simple genetic algorithms are efficient heuristics in searching for optimal solutions, but lack the accuracy of some more computational complex algorithms, a hybrid algorithm was constructed. It uses fast non-dominated sorting, in order to evaluate child population and allocate solutions to corresponding Pareto frontiers. I addition a local search method was used, in order to find more differentiated and better solutions. Clustering solutions from Pareto frontiers also improved diversity of solutions in child population. This approach can be used as a start point for searching for algorithm for solving optimal control problems of switched systems wi
This paper presents a novel method of modeling spatial communication activity in wireless sensor network (WSN). We define native aspects of communication in WSN. Focusing on local/global activity dilemma, cooperation,...
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ISBN:
(纸本)9781629934747
This paper presents a novel method of modeling spatial communication activity in wireless sensor network (WSN). We define native aspects of communication in WSN. Focusing on local/global activity dilemma, cooperation, interference, network topology, and optimization aspects. A neighborhood abstraction is defined and we involve three binary relations: subordination, tolerance and collision to describe the cooperation in WSN. Using digital terrain model tools we model communication activity aspects as surfaces, stretched over WSN network. A network topology features are modeled using bare drainage surface. It is a component of a topographic map, which gives a direction towards the base station, determined by a slope of the modeled surface. Modeling node's instant energy level, we construct another surface represents node's instant level of consumed energy. Finally, we construct a drainage surface spread over each node neighborhood as superposition of bare drainage surface, energy consumed and relational surfaces.
The advantages of Variable Step Search algorithm - a simple local search-based method of MLP training is that it does not require differentiable error functions, has better convergence properties than backpropagation ...
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For nonholonomic robots whose kinematics are described by a driftless control system with outputs a new Jacobian inverse and a Jacobian motion planning algorithm are proposed. This inverse is based on solving a Lagran...
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In the note two recursive algorithms recovering the nonlinearity in Hammerstein systems are proposed. The algorithms are based on Haar wavelet orthogonal series kernels and are of the simple generic standard form: μc...
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Evolutionary inspired heuristics suffer from a premature convergence at local optima and, consequently, a population diversity loss. Thus, breaking out of a local optimum trap and crossing saddles between optima in mu...
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ISBN:
(纸本)9789897580529
Evolutionary inspired heuristics suffer from a premature convergence at local optima and, consequently, a population diversity loss. Thus, breaking out of a local optimum trap and crossing saddles between optima in multimodal and multidimensional search spaces is an important issue in an evolutionary optimization algorithm. In this paper, an impatience mechanism coupled with a phenotypic model of evolution is studied. This mechanism diversifies a population and facilitates escaping from a local optima trap. An impatient population polarizes itself and evolves as a dipole centered around an averaged individual. The operator was modified by supplying it with an extra knowledge about a currently found optimum. In the case, behavior of a population is quite different - a significant diversification is observed but the population is not polarized and evolves as a single cluster. Both mechanisms allow to cross saddle relatively fast for a wide range of parameters of a bimodal multidimensional fitness function.
The self-adaptive model of a XCS-based ensemble machine solving data-mining tasks has been presented. The results of experiments have shown the ability of the architecture to adapt the parameters of single XCS: the mu...
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In this paper we focus on developing the formal methods and techniques necessary to model and classify a collective animal behaviour. The benefits of using set theory are the possibility of a formal examination of the...
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In recent years, the wireless Body Area Network (BAN) technology has made significant advances. There is a tremendous need for the development of this technology. However, wireless BANs require much higher reliability...
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