Computer Models of Process Dynamics: From Newton to Energy Fields

Comprehensive overview of techniques for describing physical phenomena by means of computer models that are determined by mathematical analysis

Computer Models of Process Dynamics covers everything required to do computer based mathematical modeling of dynamic systems, including an introduction to a scientific language, its use to program essential operations, and methods to approximate the integration of continuous signals.

From a practical standpoint, readers will learn how to build computer models that simulate differential equations. They are also shown how to model physical objects of increasing complexity, where the most complex objects are simulated by finite element models, and how to follow a formal procedure in order to build a valid computer model. To aid in reader comprehension, a series of case studies is presented that covers myriad different topics to provide a view of the challenges that fall within this discipline. The book concludes with a discussion of how computer models are used in an engineering project where the readers would operate in a team environment.

Other topics covered in Computer Models of Process Dynamics include:

• Computer hardware and software, covering algebraic expressions, math functions, computation loops, decision-making, graphics, and user-defined functions
• Creative thinking and scientific theories, covering the Ancients, the Renaissance, Galileo, Newton, electricity and magnetism, and newer sciences
• Uncertainty and softer science, covering random number generators, statistical analysis of data, the method of least squares, and state/velocity estimators
• Flight simulators, covering the motion of an aircraft, the equations of motion, short period pitching motion, and phugoid motion

Established engineers and programmers, along with students and academics in related programs of study, can harness the comprehensive information in Computer Models of Process Dynamics to gain mastery over the subject and be ready to use their knowledge in many practical applications in the field.

《計算機過程動態模型》

《計算機過程動態模型》提供了描述物理現象的計算機模型的全面概述，這些模型是通過數學分析確定的。

本書涵蓋了進行基於計算機的動態系統數學建模所需的一切，包括科學語言的介紹、使用該語言編寫基本操作的方法，以及近似積分連續信號的方法。

從實際角度出發，讀者將學習如何構建模擬微分方程的計算機模型。書中還展示了如何模擬越來越複雜的物理對象，其中最複雜的對象通過有限元模型進行模擬，以及如何按照正式程序構建有效的計算機模型。為了幫助讀者理解，書中還提供了一系列案例研究，涵蓋了各種不同的主題，以展示這一學科中的挑戰。本書最後討論了計算機模型在工程項目中的應用，讀者將在團隊環境中操作。

《計算機過程動態模型》還涵蓋了以下主題：
- 計算機硬件和軟件，包括代數表達式、數學函數、計算循環、決策、圖形和用戶定義函數
- 創造性思維和科學理論，包括古代、文藝復興、伽利略、牛頓、電學和磁學以及新興科學
- 不確定性和較軟的科學，包括隨機數生成器、數據的統計分析、最小二乘法和狀態/速度估計器
- 飛行模擬器，包括飛機運動、運動方程、短周期俯仰運動和長周期運動

已經有經驗的工程師和程序員，以及相關學科的學生和學術界人士，可以利用《計算機過程動態模型》中的全面信息，掌握這一主題，並準備在該領域的許多實際應用中應用他們的知識。

Olis Rubin, DSc. Eng., has held many positions in control engineering throughout his career including at Denel, PBMR, ContrOlis, Dentron, and CSIR. He was also an honorary post graduate professor in Control Systems at the University of Pretoria. He previously published Control Engineering in Development Projects (2016) and The Design of Automatic Control Systems (1986) with Artech House.

Olis Rubin博士工程師在控制工程領域擁有豐富的職位經驗，曾在Denel、PBMR、ContrOlis、Dentron和CSIR等公司擔任職位。他還擔任過南非普利托利亞大學控制系統的名譽研究生教授。他曾與Artech House合作出版過《發展項目中的控制工程》（2016年）和《自動控制系統設計》（1986年）。