In this paper,according to the result of characteristics experiment of MRF(magnetorheological fluid),we design Bingham dynamic model that describes MRD(magnetorheological damper) dynamic *** model has simple structure...
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ISBN:
(纸本)9781467397155
In this paper,according to the result of characteristics experiment of MRF(magnetorheological fluid),we design Bingham dynamic model that describes MRD(magnetorheological damper) dynamic *** model has simple structure and clear physical concept,as well it is the most common dynamic *** at identify the parameter of Bingham model,we propose two kinds of algorithm firstly,one named least squares algorithm,another named Bezier curve *** on the basis of mastering principles of two algorithm above,we compare Bingham model expression that after parameter identification with experimental data ***,from the result we can see whether Bingham model could accurately describes the damping force characteristics or not.
Channel estimation is an important research direction in wireless communications;channel estimation based on the training sequence is the most commonly used method. Different training sequence is very different from t...
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Channel estimation is an important research direction in wireless communications;channel estimation based on the training sequence is the most commonly used method. Different training sequence is very different from the performance of channel estimation, in order to improve channel estimation accuracy. This paper analyzes the common m sequence and from the optimal channel estimated performance point design of applicable in any given length of sequence. The sequence, respectively, under the traditional channel estimated algorithm and based on compressed sensing to channel estimation algorithm has the criterion of Minimum Mean Square Error. Meanwhile, the sequence obtained after the demodulated training sequence through different modulation systems are different, so as to have greater flexibility.
In this paper, partially decentralized adaptive control for a multi-agent dynamic system is studied. There are many agents in the system, and each agent's state evolves like an ARMAX model with unknown parameters ...
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ISBN:
(纸本)9781424445233
In this paper, partially decentralized adaptive control for a multi-agent dynamic system is studied. There are many agents in the system, and each agent's state evolves like an ARMAX model with unknown parameters while being intervened by its neighborhood agents, in form of unknown linear interactions. Each agent adopts recursive WLS (weighted least-square) algorithm to estimate its local unknown parameters and designs its local adaptive controller by "certainty equivalence" principle. Generally speaking, it is a question whether such local adaptive controllers can guarantee stability of whole system. In this paper, we not only give the affirmative answer to this question, but also rigorously prove the optimality of decentralized WLS adaptive controller.
This paper discuss model and algorithm of confirming standard value of communication equipment indected,including confirming methods of two or more detection data,at last we attempt to use least squares algorithm and ...
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This paper discuss model and algorithm of confirming standard value of communication equipment indected,including confirming methods of two or more detection data,at last we attempt to use least squares algorithm and recursive least squares algorithm to confirm detecion standard value,this have definite action for advancing omputation precision and reducing operation load,analogue compution indiacate this model and algorithm have comparative practicability
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