Titlebook: Distributed Parameter Systems: Modelling and Identification; Proceedings of the I Antonio Ruberti Conference proceedings 1978 Springer-Verl

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Distributed Parameter Systems: Modelling and Identification978-3-540-37195-3Series ISSN 0170-8643 Series E-ISSN 1610-7411

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https://doi.org/10.1057/9780230252974st-squares optimization. However there are many other aspects of the problem that need to be addressed and many questions on formulation that need to be answered before such computational effort can be meaningful. This paper looks at some of these aspects particularly as it involves distributed para

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https://doi.org/10.1057/9780230270831edback controllers has been carried out, while minimizing a quadratic error phis control energy measure of performance. Using the direct method, the orriginal problem has been reduced to that of solving a set of easily computable algebraic equations in the expanion coefficients of the control. The o

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https://doi.org/10.1057/9780230270831oise disturbances in the dynamics and in the observation..The state of the system, described by a set of partial differential equations of parabolic type, is disturbed by a noise assumed white in time but not in space. The boundary conditions are homogeneous and therefore deterministic..The observat

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https://doi.org/10.1057/9780230270831 Due to this degeneracy, investigation of theoretical properties for this class is simplified; on the other hand, this model might have some relevance in the description of important processes in biology, socio-economics as well as engineering.