Excerpt from A Multivariate Adaptive Control Model
(1) A process is to be controlled by setting a single control variable in each of a sequence of time periods.
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Paperback. Condition: New. Print on Demand. This book presents a highly specialized multivariate adaptive control model aimed at optimizing decision-making processes involving multiple variables. Drawing inspiration from previous research on single-variable control, the author extends the model to handle multiple control variables, each of which affects a response function in a linear and quadratic manner. The model incorporates an experimental design component utilizing a 2r factorial experiment to gather information and update distributions of unknown coefficients. The author employs Bayesian methods to calculate optimal control settings based on discounted future profits, considering both operational costs and experimental design parameters. The book's strength lies in its detailed justification of optimization results through dynamic programming arguments and its focus on simplicity of operation. Optimal control is achieved through straightforward exponential smoothing rules, making the model accessible and practical for real-world applications. By providing a comprehensive framework for adaptive control in complex, multivariate systems, this book offers valuable insights into the optimization of decision-making processes across a broad range of disciplines. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. Seller Inventory # 9781332270880_0
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332270880
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Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332270880
Quantity: 15 available