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Urban, Regional and National Planning (UNRENAP): Environmental Aspects contains the proceedings of a Workshop on Urban, Regional and National Planning held in Kyoto, Japan, on August 5-6, 1977 under the auspices of the International Federation of Automatic Control. The workshop provided an opportunity to address the environmental aspects of urban, regional, and national planning. The discussions are organized around the themes of modeling, evaluation, simulation, and optimization. Comprised of 34 chapters, this book begins by outlining an alternative approach to environmental modeling in which comprehensive models are replaced by a network of simpler models, focused on specific aspects of the reality and sponsored by corresponding decision-making organizations. The reader is then introduced to some socio-economic aspects of health care planning; structural modeling in a class of systems by fuzzy sets theory; and the role of legal measures in the orientation of urban growth. Subsequent chapters deal with the use of Environmental Assessment Scale as a technique for environmental evaluation; computer simulation of economy management systems; and optimal control models of regional economies. A model for pollution reduction and control is also described. This monograph will be of interest to urban planners and environmental policymakers.
Includes entries for maps and atlases.
System Identification is a special section of the International Federation of Automatic Control (IFAC)-Journal Automatica that contains tutorial papers regarding the basic methods and procedures utilized for system identification. Topics include modeling and identification; step response and frequency response methods; correlation methods; least squares parameter estimation; and maximum likelihood and prediction error methods. After analyzing the basic ideas concerning the parameter estimation methods, the book elaborates on the asymptotic properties of these methods, and then investigates the application of the methods to particular model structures. The text then discusses the practical aspects of process identification, which includes the usual, general procedures for process identification; selection of input signals and sampling time; offline and on-line identification; comparison of parameter estimation methods; data filtering; model order testing; and model verification. Computer program packages are also discussed. This compilation of tutorial papers aims to introduce the newcomers and non-specialists in this field to some of the basic methods and procedures used for system identification.