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Titlebook: System Identification, Environmental Modelling, and Control System Design; Liuping Wang,Hugues Garnier Book 2012 Springer-Verlag London Li

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Automatic Selection for Non-linear Modelsst rejects, specify a general model using polynomials, to be simplified to a minimal congruent representation; finally select by encompassing tests of specific non-linear forms against the selected model. Non-linearity poses many problems: extreme observations leading to non-normal (fat-tailed) dist
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Application of Filtering Methods for Removal of Resuscitation Artifacts from Human ECG Signalse rationale for applying these methods in the particular biomedical context. Novel aspects of the exposition are deterministic interpretation and comparative study of the methods. A database of separately recorded human ECG and animal resuscitation artifact signals is used for evaluation of the meth
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Progress and Open Questions in the Identification of Electrically Stimulated Human Muscle for Strokecal stimulation to the upper limb of stroke patients with incomplete paralysis to assist in reaching tasks. This, in turn, requires the identification of the response of a human muscle to electrical stimulation. In this chapter an overview of the progress reported in the literature is given together
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How Accurate Can Instrumental Variable Models Become?od, and it is further discussed how these user choices can be made in order to make the covariance matrix as small as possible in a well-defined sense. The chapter includes also a comparison with the prediction error method, and a discussion of in what situations an optimal instrumental variable method can be statistically efficient.
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Application of Minimum Distortion Filtering to Identification of Linear Systems Having Non-uniform Sto this problem. A simple example is used to illustrate the performance of the algorithm. We also compare the results with those obtained from (a particular realization) of Particle Filtering..The chapter is inspired by the work of Peter Young who has made a life time of contributions to parameter estimation for real world systems.
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Model Structure Identification and the Growth of Knowledgely enthused by the progress I believe I and my students (now colleagues) have made over these four decades. It has been a privilege to be allowed the time to work on such a most attractive and engaging topic.
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