Practical Control Engineering: Guide For Engineers, Managers, And Practitioners (matlab Examples)
by David Koenig /
2009 / English / PDF
8.5 MB Download
An Essential Guide to Control Engineering Fundamentals
An Essential Guide to Control Engineering FundamentalsUnderstand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language,
Understand the day-to-day procedures of today's control engineer with the pragmatic insights and techniques contained in this unique resource. Written in clear, concise language,Practical Control Engineering
Practical Control Engineering shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendices cover basic calculus, differential equations, vector math, Laplace and Z-transforms, and Matlab basics.
shows, step-by-step, how engineers simulate real-world phenomena using dynamic models and algorithms. Learn how to handle single and multiple-staged systems, implement error-free feedback control, eliminate anomalies, and work in the frequency and discrete-time domains. Extensive appendices cover basic calculus, differential equations, vector math, Laplace and Z-transforms, and Matlab basics.Practical Control Engineering
Practical Control Engineering explains how to:
explains how to:Gain insight into control engineering and process analysis
Gain insight into control engineering and process analysisWrite and debug algorithms that simulate physical processes
Write and debug algorithms that simulate physical processesUnderstand feedback, feedforward, open loops, and cascade controls
Understand feedback, feedforward, open loops, and cascade controlsBuild behavioral models using basic applied mathematics
Build behavioral models using basic applied mathematicsAnalyze lumped, underdamped, and distributed processes
Analyze lumped, underdamped, and distributed processesComprehend matrix, vector, and state estimation concepts
Comprehend matrix, vector, and state estimation conceptsConvert from continuous to discrete-time and frequency domains
Convert from continuous to discrete-time and frequency domainsFilter out white noise, colored noise, and stochaic disturbances
Filter out white noise, colored noise, and stochaic disturbances
