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Titlebook: Applied and Computational Control, Signals, and Circuits; Recent Developments Biswa Nath Datta Book 2001 Springer Science+Business Media Ne

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Seiki Akama,Yotaro Nakayama,Tetsuya Murai in signal processing. The algorithm is based on the direction set method developed by Powell and Zangwill for solving unconstrained minimization problems without using derivatives. It is designed so as to fully take advantage of the special structure of the adaptive least squares problems. It is a
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The Epistemic Status of Intuitions,utines implementing the last algorithmic developments for several well-known balancing related methods, we also describe model reduction tools developed to facilitate the usage of SLICOT routines in user friendly environments like . or Scilab. Extensive testing of the implemented tools has been done
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0893-3405 work for researchscientists, practicing engineers, and graduate level students ofcontrol and systems, circuit design, power systems and signalprocessing.978-1-4613-5570-0978-1-4615-1471-8Series ISSN 0893-3405
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Seiki Akama,Yotaro Nakayama,Tetsuya Muraialgorithm has been shown to converge linearly for adaptive least squares problems in general and its rate of convergence can be faster than linear for some applications. The algorithm can be simplified and its rate of convergence can be improved with the use of some direction sets. The direction set
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Model Reduction Software in the SLICOT Library, using both special benchmark problems as well as models of several complex industrial plants. Testing results and performance comparisons show the superiority of SLICOT model reduction tools over existing model reduction software.
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Maria Michalis,Alessandro D’Armategrator into the closed loop system and extend these methods to deal with Multiple-input Multiple-output nonlinear systems. Finally, we implement our method in the control of a simulated helicopter model. The simulation results show that this method achieves satisfactory performance.
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