<正>This paper presents a method for using chaos in the digital domain for secure *** method uses a well-trained multilayer neural network to generate the chaotic sequence whose randomness is *** corresponding secur...
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ISBN:
(纸本)0780362535
<正>This paper presents a method for using chaos in the digital domain for secure *** method uses a well-trained multilayer neural network to generate the chaotic sequence whose randomness is *** corresponding secure communication approach is also *** the transmitter,the modulation is realized by adding the information signal to this chaotic sequence generated by neural *** the receiver,the chaotic carrier is retrieved from the received signal by using an equivalent neural network,and then the information signal is *** anti-decipher ability of this method is also *** computer experiments show that this method has the good immunity to interference and can be realized easily,and the chaotic secure communication system based on neural network is fine in security.
By combining a neuron controller and a PID controller,the neuron PID variable structure control method is proposed for multi-model plants in this paper. Using the proposed method for the basis weight control of a pape...
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ISBN:
(纸本)0780362535
By combining a neuron controller and a PID controller,the neuron PID variable structure control method is proposed for multi-model plants in this paper. Using the proposed method for the basis weight control of a paper machine,the simulation results are *** illustrates that the new control method have good performance,very strong robustness and adaptability.
A l/sub /spl infin// control problem is formulated for digital finite-word-length (FWL) controllers with synchronous sampling and fixed-point arithmetic. The l/sub /spl infin// FWL controllers design problem is reduce...
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ISBN:
(纸本)0780366387
A l/sub /spl infin// control problem is formulated for digital finite-word-length (FWL) controllers with synchronous sampling and fixed-point arithmetic. The l/sub /spl infin// FWL controllers design problem is reduced to the problem of solving a quadratic matrix inequality (QMI) such that the closed-loop system is asymptotically stable. The approach can be generalized to deal with other problems such as H/sub /spl infin//, H/sub 2/ and LQR FWL control problem.
Based on wavelet multiresolution analysis theory,this paper proposes a two-step identification method for multirate sampled-data *** the problem of multirate sampled-data consistent reconstruction is studied,then a ne...
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ISBN:
(纸本)0780362535
Based on wavelet multiresolution analysis theory,this paper proposes a two-step identification method for multirate sampled-data *** the problem of multirate sampled-data consistent reconstruction is studied,then a new weighted band—wise identification method is *** method has the advantages of noise-free,convenient modeling the interesting band of plant precisely,and easy incorporation with system design. Simulating results are given to illustrate that this two-step identification method is effective and feasible in process modeling.
A multivariable model-free neurocontrol method based on diagonal superiority is proposed in the paper. The coordination control system is designed for a unit power plant integrating a boiler, a turbine generator and e...
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A multivariable model-free neurocontrol method based on diagonal superiority is proposed in the paper. The coordination control system is designed for a unit power plant integrating a boiler, a turbine generator and electricity in itself and simulation tests of a unit power plant coordination control are made. The results show that the neurocontrol method has very strong adaptability, robustness and satisfied performances even if the plant dynamic characteristics change greatly. This multivariable method is very simple and can be easily used in practice.
Investigates the use of adaptive neuron model-free control techniques for automatic control of mean arterial pressure (MAP) through the intravenous infusion of sodium nitroprusside (SNP). Because the transfer function...
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Investigates the use of adaptive neuron model-free control techniques for automatic control of mean arterial pressure (MAP) through the intravenous infusion of sodium nitroprusside (SNP). Because the transfer function parameters are different for each patient and furthermore are variable with time, an adaptive algorithm is desirable for maintaining both stead-state and transient specifications. A neuron model-free control method is proposed for blood pressure regulation in the paper. One of its outstanding advantages is that the neuron controller generates the control signal not based on a plant model, but on learning of the inputs and outputs of the process. The computer simulations have shown that the incremental neuron model-free control procedures might be successfully applied the control of blood pressure despite the uncertainty in the delays, time constant and gains.
Based on a neuron model and a neuron control method, the fuzzy neuron model-free control method for the mold level control of continuous steel casting processes is proposed in this paper. The fuzzy algorithm is used t...
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Based on a neuron model and a neuron control method, the fuzzy neuron model-free control method for the mold level control of continuous steel casting processes is proposed in this paper. The fuzzy algorithm is used to tune the neuron gain, and the nonlinear transfer is adopted to produce the neuron inputs. The simulation experiments with an example are made. This paper illustrates that this new model-free method has strong robustness, adaptability and satisfied performances.
By combining a neuron controller and a PID controller, the neuron PID variable structure control method is proposed for multi-model plants in this paper. Using the proposed method for the basis of weight control of a ...
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ISBN:
(纸本)0780362535
By combining a neuron controller and a PID controller, the neuron PID variable structure control method is proposed for multi-model plants in this paper. Using the proposed method for the basis of weight control of a paper machine, the simulation results are given. It illustrates that the new control method has good performance, very strong robustness and adaptability.
By using a nonlinear element and adding the controller parameters to modify the neuron inputs, a neural model-free control method is proposed for underdamping plants. The simulation tests are made. The results demonst...
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By using a nonlinear element and adding the controller parameters to modify the neuron inputs, a neural model-free control method is proposed for underdamping plants. The simulation tests are made. The results demonstrate that this method can control underdamping plants efficiently. Selections of the controller parameters are not strict.
This paper deals with the problem of disturbance attenuation via output feedback with internal stability for Lipschitz nonlinear systems. The main result is given in terms of the solutions of a Riccati equation and a ...
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This paper deals with the problem of disturbance attenuation via output feedback with internal stability for Lipschitz nonlinear systems. The main result is given in terms of the solutions of a Riccati equation and a Hamilton-Jacobi inequality. The method is shown to be suitable for linearized systems and, locally, for some general nonlinear systems as well. A numerical example is studied to show the feasibility of the presented approach.
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