Implied Dimensions

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Implicit Dimensions of Contract

Author: David Campbell
language: en
Publisher: Bloomsbury Publishing
Release Date: 2003-07-16
This collection of essays, derived from an international workshop, explores the significance of implicit understandings and tacit expectations of the parties to different kinds of contractual agreements, ranging from simple discrete transactions to long-term associational agreements such as those formed in companies. An interdisciplinary and comparative approach is used to investigate how the law comprehends and gives effect to the these implicit dimensions of contracts. The significance of this enquiry is found not only in relation to the interpretation of contracts in many different contexts, but more fundamentally in how social practices involved in making contracts should be analysed and comprehended.
Geometric Dimensioning and Tolerancing

Explaining the symbology of dimensioning and tolerancing and introducing a step-by-step system for geometric definition, this book provides examples for the application of geometric controls. The author breaks down the language of geometric product definition into a series of steps that consist of significant questions to be asked at any point in the product definition. He addresses functional requirements and manufacturing techniques, measurement, inspection, and gaging procedures. The book illustrates how symbology is best utilized, in what order it should be applied, and how each geometric control anticipates, integrates, and complements all other geometric controls on a part and in an assembly.
Model-Based Predictive Control

Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering. Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications. This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues.