Systems biology is heralded as the future of biology. Many approaches being applied to this new biological field have already been used in engineering systems. In this article we survey the emerging applications of sy...
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ISBN:
(纸本)0780386531
Systems biology is heralded as the future of biology. Many approaches being applied to this new biological field have already been used in engineering systems. In this article we survey the emerging applications of system science and engineering tools in the study of systems biology.
In this paper, global finite-time stabilization problem for a large class of nonlinear control systems in the p normal form is considered. An iterative design approach is given based on Lyapunov function and homogenei...
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ISBN:
(纸本)0780386531
In this paper, global finite-time stabilization problem for a large class of nonlinear control systems in the p normal form is considered. An iterative design approach is given based on Lyapunov function and homogeneity. the finite-time stabilizing control laws are constructed in the form of continuous but non-smooth time-invariant feedback.
this paper presents a new multi-dimension predictive model based on the diagonal recurrent neural networks (PDRNN) with a parallel learning algorithm. this method can be used to predict not only values, but also some ...
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ISBN:
(纸本)0780386531
this paper presents a new multi-dimension predictive model based on the diagonal recurrent neural networks (PDRNN) with a parallel learning algorithm. this method can be used to predict not only values, but also some points in the multi-dimension space. And also its applications in data mining will be discussed in the paper. Some analysis results show the significant improvement to ship route prediction using the PDRNN algorithm in database of geographic information system (GIS).
In the present work, we study the feedback control of a scale-free network of coupled Henon maps. A condition is derived for locally asymptotically stabilizing such a discrete-time complex dynamical network onto the h...
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ISBN:
(纸本)0780386531
In the present work, we study the feedback control of a scale-free network of coupled Henon maps. A condition is derived for locally asymptotically stabilizing such a discrete-time complex dynamical network onto the homogenous stationary state by applying local feedback controllers to a fraction of network nodes. Numerical studies verify the effectiveness.
In this paper, the idea of fuzzy model reference learning control(FMRLC) technique for missile autopilot design is introduced. this controller utilizes a learning mechanism, which observes the plant outputs and adjust...
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ISBN:
(纸本)0780386531
In this paper, the idea of fuzzy model reference learning control(FMRLC) technique for missile autopilot design is introduced. this controller utilizes a learning mechanism, which observes the plant outputs and adjusts the rules in a direct fuzzy controller, so that the overall system behaves like a "reference model" which characterizes the desired behaviour. the performance of the FMRLC based missile autopilot is demonstrated by simulation for various conditions with structure uncertainties.
In this paper, a new algorithm of iterative learning control with forgetting factor is proposed by using a new norm and a new analysis method. the new method applies the whole information of systems to transfer the it...
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ISBN:
(纸本)0780386531
In this paper, a new algorithm of iterative learning control with forgetting factor is proposed by using a new norm and a new analysis method. the new method applies the whole information of systems to transfer the iterative learning control problem into a stability problem of a discrete system with parameters. this algorithm improves the shortage appeared in some present learning algorithms with forgetting factors. the simulations show the effectiveness of our new algorithm.
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