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One of the key concerns in modern control theory is the design of steering strategies. The implementation of such strategies is done by a regulator. Presented here is a self-contained introduction to the mathematical background of this type of regulator design. The topics selected address the matter of greatest interest to the control community, at present, namely, when the design objective is the reduction of the influence of exogeneous disturbances upon the output of the system. In a first scenario the disturbance signal is regarded as a deterministic time series with known dynamics but unknown parameters. The design objective is then the asymptotic disturbance compensation. In a second sc...
In the course of his research career, much of which was based in his own classrooms, Wolff-Michael Roth explored numerous new theoretical frameworks when the old ones proved to be unable to account for the data. In this book, surrounding 11 of his publications spanning 20 years of work, the author tells a story of how science education research concretely realized and singularized itself. That is, rather than taking sole credit for the work that ultimately came to bear his name, Roth develops a historical narrative in which his work came to realize cultural-historical possibilities inherent in the field of science education. But perhaps because some types of this work came to be realized for a first time, Roth’s research also came to be characterized by others in the community as “cutting edge.” This work, therefore presents as much an auto/biographical narrative as it presents a cultural-historical recollection of science education as it unfolded over the past two decades.
Easy-to-follow learning structure makes absorption of advanced material as pain-free as possible Introduces complete theories for stability and cost monotonicity for constrained and non-linear systems as well as for linear systems In co-ordination with MATLAB® files available from springeronline.com, exercises and examples give the student more practice in the predictive control and filtering techniques presented
In its broadest sense, nonlinear synthesis involves in fact the synthesis of sometimes so phisticated or complex control strategies with the aim of prescribing, or at least influencing, the evolution of complex nonlinear systems. Nonlinear synthesis requires the development of methodologies for modeling complex systems, for the analysis of nonlinear models, and for the systematic design of control schemes or feedback laws which can achieve a wide variety of prescribed objectives. The modeling, analysis and control of complex systems in the face of uncertainty form on of the major components of the current research program in the Department of Systems and Decision Sciences (SDS) at the Intern...