With the requirement to develop magnet-free motors for automotive application, more design effort is needed for thermal design as the machine temperature limits the motor performance. Thermal design procedure of autom...
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LQR controller is the most popular technique that provides an optimal control law for linear systems among the state space feedback control strategies. However, the conventional LQR controller synthesis is unfortunate...
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ISBN:
(纸本)9781467383479
LQR controller is the most popular technique that provides an optimal control law for linear systems among the state space feedback control strategies. However, the conventional LQR controller synthesis is unfortunately an iterative process due to the trial and error approach involved in determining the parameters values of the weighing matrices Q and R. Here, the Big Bang-Big Crunch (BB-BC) optimization algorithm is used that optimizes a time domain fitness function in the design of the state feedback optimal control law and thus avoiding the repeated adjustment process of LQR parameters. In this study, a special performance fitness function that is inversely proportional to the certain time domain step response criteria of a dynamical system is proposed for the optimization procedure. In order to test the performance of the proposed method, firstly a simulation study is done within the MATLAB to stabilize an inverted pendulum on cart. Then, the proposed controller is used in a real time implementation to stabilize a DC-DC boost converter benchmark in the lab. Both MAT-LAB simulations and laboratory experiments demonstrate the effectiveness of the proposed controller.
The signal will be inevitably mixed with various types of noise in the process of transmission, which causes the distortion of information in different degree, in order to obtain accurate information, it’s an importa...
The signal will be inevitably mixed with various types of noise in the process of transmission, which causes the distortion of information in different degree, in order to obtain accurate information, it’s an important work to suppress random noise in the digital signal processing system. This paper mainly studies the adaptive filtering method, using LMS algorithm in adaptive filter (Least mean square LMS algorithm), when the filter starts reading the electrostatic signal, it also can estimate the statistical characteristics of electrostatic signal, adaptive adjust its filter parameters, filtering the electrostatic signal on time, attain the maximum noise suppression, to avoid distortion of information, and to achieve optimal filtering.
The operation of splicing on words was introduced by Tom Head while proposing a theoretical model of DNA recombination. Subsequent investigations on splicing on linear and circular strings of symbols have resulted in ...
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Future Air Traffic Management (ATM) demands that flights to be more efficient while maintaining safety and improving flight predictability. Two major research groups Single European Sky (SESAR) and Next Generation Air...
—We investigate the scalable image classification problem with a large number of categories. Hierarchical visual data structures are helpful for improving the efficiency and performance of large-scale multi-class cla...
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In this paper, a dynamic co-evolution compact genetic algorithm (DCCGA) is proposed for flexible flow shop scheduling problem (FFSP) to minimize the total earliness and tardiness (E/T) penalties. In this new algorithm...
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In this paper, we propose an approach based on the use of artificial fish swarm algorithm (AFSA) for solving the problem of multicast routing on application layer. Taking delay, stretch, and degree as three optimizati...
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ISBN:
(纸本)9781509040940
In this paper, we propose an approach based on the use of artificial fish swarm algorithm (AFSA) for solving the problem of multicast routing on application layer. Taking delay, stretch, and degree as three optimization objectives, we design the behaviors of artificial fish individual (AF), i.e. moving randomly, preying, following, and use Pareto ranking to evaluate the fitness of AF. The simulation results show that the proposed algorithm is an appropriate method to explore the search space of the complex problem and leads to good solutions in a reasonable amount of time.
The two areas of picture languages and membrane computing were linked by array-rewriting P system in which array objects and context-free array-rewriting rules are used in order to generate picture languages. While re...
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There was a mistake in the grant number used in the recently published paper (DOI: https://***/10.1515/ nanoph-2019-0112. Published Online: 2019-07-09). The text should read: A.K. is grateful for support via the Russi...
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