The spread of forest fire is a complex adaptive system. The spread could be seen as the result of fire agents' continuous learning, adaptation and co-ordination. This paper founded an Agent-based model for forest ...
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ISBN:
(纸本)9783037856932
The spread of forest fire is a complex adaptive system. The spread could be seen as the result of fire agents' continuous learning, adaptation and co-ordination. This paper founded an Agent-based model for forest fire spread, modeled the generating of fire spread rules based on Genetic algorithms. Created the spread rules with effect of wind and topography independently for forest fire, designed the fitness function, and took the genetic operation on the rules, which created new rules. Implemented the adaptive algorithm on Repast S, and used it in the Agent-based model of forest fire spread. The result of model's running indicated the adaptive algorithm could improve the adaptive ability of fire agent.
A new method for pulse wave filter is proposed on the basis of wavelet transform soft-threshold denoising and wavelet adaptive algorithm in this paper. The wavelet soft-threshold filter and wavelet adaptive filter are...
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ISBN:
(纸本)9781424467129
A new method for pulse wave filter is proposed on the basis of wavelet transform soft-threshold denoising and wavelet adaptive algorithm in this paper. The wavelet soft-threshold filter and wavelet adaptive filter are made as combination filter system, after the high frequency noises are eliminated with wavelet soft-threshold denoising, the baseline drift is removed by wavelet adaptive filter, and then the clean pulse wave signals will be obtained. At last, through analysis the simulation and experimental wave's results and compare the practice parameters with traditional methods, it is proved that the advance and effectiveness of this new method.
In this paper a free chattering sliding mode is proposed to generate the guidance law, in order to achieve the tracking of the ground moving target while an adaptive method is improved to deal with uncertainty. Slidin...
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ISBN:
(纸本)9781479967438
In this paper a free chattering sliding mode is proposed to generate the guidance law, in order to achieve the tracking of the ground moving target while an adaptive method is improved to deal with uncertainty. Sliding mode control is low sensitivity to planet parameter variations and uncertainties which eliminates the necessity of exact modeling. One of the major advantages of the proposed controller lies that its implementation only requires online estimation without the knowledge of bounds on system uncertainties. At first, the error dynamic of the tracking problem is described based on the range between unmanned aerial vehicle and ground moving target. Then, the nonlinear guidance law is proposed based on adaptive second order sliding mode control to achieve robustness, invariance and finite time tracking, and the chattering effect has been eliminated. adaptive estimation is used to improve the command state generation and deal with the uncertainty of the target estimation. Closed loop stability is proved via Lyapunov analysis. Moreover, the accurate tracking of the target state has been achieved in the presence of the uncertainty which has been demonstrated in the simulation section.
In adaptive filtering, it is typical to assume that the adaptive filter impulse response is of the same length as the impulse response of the unknown system to be identified. However, in practice this is usually not t...
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ISBN:
(纸本)9781424403868
In adaptive filtering, it is typical to assume that the adaptive filter impulse response is of the same length as the impulse response of the unknown system to be identified. However, in practice this is usually not the case. The filter impulse response is typically shorter and hence called deficient length. The Euclidean Direction Search (EDS) algorithm is a relatively new adaptive filtering scheme, which combines the benefits of fast convergence of the RLS and the low computational complexity of the LMS algorithm. In this paper, we analyze the performance of the deficient length EDS algorithm. Computer simulation results are encouraging and agree with the theoretical findings.
A new adaptive scheme for system identification is proposed. The derivation of the algorithm and its convexity property are detailed. Also, the first moment behaviour as well as the second moment behaviour of the weig...
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A new adaptive scheme for system identification is proposed. The derivation of the algorithm and its convexity property are detailed. Also, the first moment behaviour as well as the second moment behaviour of the weights are studied. Bounds for the step size on the convergence of the proposed algorithm are derived, as well as the steady-state analysis is carried out. Finally, simulation results are performed and are found to corroborate with the theory developed.
The paper analyses the characteristics of fitting elliptical arc and introduces its calculation method of node coordinates in multi-arc fitting on ellipse curve as well as its fitting error discriminant. It gives spec...
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ISBN:
(纸本)9780769536828
The paper analyses the characteristics of fitting elliptical arc and introduces its calculation method of node coordinates in multi-arc fitting on ellipse curve as well as its fitting error discriminant. It gives specific fitting algorithm flow chart. The examples of processing and analysis are given to showed that many of the elliptical arc adaptive interpolation fitting and can save a lot of memory, achieve high-precision and real-time elliptic interpolation. It is a very practical approach.
In multimedia wireless communications, various types of traffic are handled. Generally, each of these traffic has a different stochastic property. An access control protocol for multimedia wireless communications, the...
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ISBN:
(纸本)0780375890
In multimedia wireless communications, various types of traffic are handled. Generally, each of these traffic has a different stochastic property. An access control protocol for multimedia wireless communications, therefore, are required to adopt a stochastic property of multimedia traffic. Conventional access control protocols, however, do not consider such characteristics of multimedia traffic. In this paper, we propose an access control protocol for multimedia CDMA packet communications. The proposed protocol controls the data packet transmissions based on the estimation of the instantaneous number of simultaneously transmitted voice and video packets. This estimation exploits the stochastic property of multimedia traffic. To carry out such estimation, we employ an adaptive algorithm as an estimation method. We evaluate the performance of the proposed protocol by comparing it with the performance in the case where a stochastic property of traffic is not considered.
In this paper an efficient quasi LMS/Newton adaptive algorithm is proposed for stereophonic acoustic echo cancellation. This method employs an efficient pseudo-diagonalization approach to the estimated joint-input cor...
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ISBN:
(纸本)9781424474561
In this paper an efficient quasi LMS/Newton adaptive algorithm is proposed for stereophonic acoustic echo cancellation. This method employs an efficient pseudo-diagonalization approach to the estimated joint-input correlation matrix with an emphasis on reducing its high cross-correlation components. We derive an estimate of the inverse joint-input correlation matrix by means of this pseudo-diagonalization method. Simulation results show the improvement in convergence performance of this algorithm compared to the nonlinear RLS and nonlinear NLMS adaptive algorithms.
This paper proposes an efficient algorithm for impulsive active noise control (IANC) systems. The impulsive sources cannot be modeled by Gaussian distribution, and hence the standard adaptive algorithm based on second...
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ISBN:
(纸本)9781538673928
This paper proposes an efficient algorithm for impulsive active noise control (IANC) systems. The impulsive sources cannot be modeled by Gaussian distribution, and hence the standard adaptive algorithm based on second order statistics would give poor performance or even fail to converge. One solution is to derive adaptive algorithm by minimizing a fractional low order moment, resulting in the famous filtered-x least mean p-power (FxLMP) algorithm. The proposed algorithm discussed in this paper is based on a previously proposed generalized FxLMP algorithm. The key idea here is to introduce a variable step-size using a convex-combination approach. A large value is used at the start-up of IANC system to achieve a fast convergence speed. As the AINC system converges, the step-size automatically reduces to a small value to improve the steady-state noise reduction performance. Simulations demonstrate the effectiveness of the proposed algorithm.
The problem of incorporating partial knowledge of measurement noise into a frequency domain adaptive filtering scheme is *** proposed algorithm is obtained by minimizing a BLUE criterion function using the stochastic ...
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ISBN:
(纸本)0780344286
The problem of incorporating partial knowledge of measurement noise into a frequency domain adaptive filtering scheme is *** proposed algorithm is obtained by minimizing a BLUE criterion function using the stochastic gradient method and then switching over to the frequency domain to reduce the computational complexity. The performance of the algorithm in the situations of colored measurement noise is demonstrated by means of simulations using stationary as well as speech signals.
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