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Titlebook: Mathematical Control Theory; Deterministic Finite Eduardo D. Sontag Textbook 1998Latest edition Springer Science+Business Media New York 19

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發(fā)表于 2025-3-23 13:01:03 | 只看該作者
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Eduardo D. Sontagwhen asked to report subsecond intervals. These results suggest?that the internal state, which changes with each trial, may cause fluctuations in cerebellar neuronal activity, thereby producing variations in self-timing. When measuring different time intervals, the preparatory activity in the cerebe
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發(fā)表于 2025-3-23 22:05:12 | 只看該作者
sing are hardly helpful in solving practical problems. This awkward situation may be due to the lack of generalizability of the results of cognitive studies, which are under well-controlled laboratory conditions, to real-life situations. This lack of generalizability may be rooted in the fundamental
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發(fā)表于 2025-3-24 00:15:52 | 只看該作者
0939-2475 nd research-level monographs. v Preface to the Second Edition The most significant differences between this edition and the first are as follows: ? Additional c978-1-4612-6825-3978-1-4612-0577-7Series ISSN 0939-2475 Series E-ISSN 2196-9949
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發(fā)表于 2025-3-24 04:23:13 | 只看該作者
Systems,This Chapter introduces concepts and terminology associated with discrete- and continuous-time systems, linearization, and input/output expansions, and establishes some of their elementary properties.
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發(fā)表于 2025-3-24 08:51:18 | 只看該作者
Reachability and Controllability,In all of the definitions to follow, Σ = (.) is an arbitrary system.
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Nonlinear Controllability,In this chapter* we study controllability questions for time-invariant continuous- time systems . = .(.).
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發(fā)表于 2025-3-24 15:02:25 | 只看該作者
Observers and Dynamic Feedback,Section 1.6 in Chapter 1 discussed the advantages of using integration in order to average out noise when obtaining state estimates. This leads us to the topic of dynamic observers. In this chapter, we deal with observers and with the design of controllers for linear systems using only output measurements.
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發(fā)表于 2025-3-25 02:49:48 | 只看該作者
Optimality: Value Function,another. Often, however, one is interested not merely in effecting such a transition, but in doing so in a “best” possible manner. One example of this was provided in that chapter, when we calculated the control of minimal norm that achieved a given transfer, in a fixed time interval.
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