Short description:

This second edition 2-volume set integrates solid fundamental systems engineering principles, methods, and techniques with the technical focus of contemporary Electro-Optical and Infrared Systems (EO/IR) optics, imaging, and detection methodologies and systems.

Long description:

Electro-Optical and Infrared Systems (EO/IR) are fundamental in many areas including the military, medical, commercial, industrial, and private sectors. This second edition 2-volume set integrates solid fundamental systems engineering principles, methods, and techniques with the technical focus of contemporary EO/IR optics, imaging, and detection methodologies and systems.

Handbook of Systems Engineering and Analysis of Electro-Optical and Infrared Systems Second Edition, Two-Volume Set offers more information on Decision and Risk Analysis, and Statistical Methods in Systems Engineering such as Design of Experiments (DOX) Methods, Hypothesis Testing, Analysis of Variance, Blocking, 2k Factorial Analysis, and Regression Analysis. It includes new material on Systems Architecture, Digital Engineering (including the Digital Thread and Digital Twin), DEVOPS, and material on how to optimally develop complex and complicated systems.  An expanded section on Model-Based Systems Engineering (MBSE) is presented along with useful application examples. As well as a new chapter on Agile methods and when and when not to use this approach, a new chapter on Decision and Risk Analysis methods (including a section on Game Theory),  and a chapter focusing on lifecycle cost estimation methods. The integration of recent high-speed atmospheric turbulence research results in the optical technical examples and case studies to illustrate the new developments are also included. A presentation of new optical technical materials on Adaptive Optics (AO), Atmospheric Turbulence Compensation (ATC), and Laser Systems along with a more generalized section on disposability are also key updates that are emphasized in the second edition 2-volume set.

Because this 2-volume set blends modern-day Systems Engineering methods with detailed Optical Systems Analysis and applies these methodologies to EO/IR systems, this new edition is an excellent text for professionals in STEM disciplines that work with optical or infrared systems. It?s also a great practical reference text for the practicing engineer, and a solid educational text for graduate-level systems engineering, engineering, science, and technology students.

Color Figures are available on Routledge.com.

Table of Contents:

Volume I - Section 1: The Larger Context of Contemporary Systems Engineering:  Enterprise Architecture, System Architecture, System-of-Systems, Family-of-Systems, Complex, Complicated, and Adaptive Systems, Digital Engineering, DevOps/DevSecOps, and Wicked Problems. 1. Systems Engineering in the Modern Age. 2. Enterprise Architectures Fundamentals. 3. Systems of Systems, Family of Systems, and Systems Engineering. 4. Systems Architecture and Complex Systems Overview. Section 2: Contemporary Systems Engineering Principles, Methods, and Techniques. 5. Model-Based Systems Engineering. 6. Research Methods and Experimental Design in Systems Engineering. 7. Decision Making and Risk Analysis in Systems Engineering. 8. Agile Systems Engineering. 9. Appendix: Mathematical Formulas. Volume II ? Section 1: Application of Systems Engineering Tools, Methods, and Techniques to Optical Systems. 1. Problem Definition. 2. Feasibility Studies, Trade Studies, and Alternative Analysis. 3. Systems and Requirements. 4. Maintenance and Support Planning. 5. Technical Performance Measures and Metrics. 6. Functional Analysis and Detector Cooling. 7. Requirements Allocation. 8. Introduction to System Design. 9. Quality Production and Manufacturing. 10. Optical Systems Testing and Evaluation. 11. Optical System Use and Support. 12. Disposal and Retirement of Optical Systems. Section 2: Bringing it all Together?. 13. Bringing it all together ?. 14. Bringing it all together: Integrated Lifecycle Cost & Schedule Estimate (ILCaSE) in Systems Engineering. 15. Appendix: Mathematical Formulas.