{"product_id":"9783031932861","title":"Nonlinear Control of Uncertain Systems Conventional and Learning-Based Alternatives with Python","description":"\u003ch1\u003eNonlinear Control of Uncertain Systems\u003c\/h1\u003e\u003ch2\u003eConventional and Learning-Based Alternatives with Python\u003c\/h2\u003e\u003ch3\u003eMazen Alamir\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eTechnology \u0026amp; Engineering \/ Electrical\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp style=\"line-height: 115%;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; color: #44546a; mso-themecolor: text2; mso-ansi-language: EN-US;\"\u003eThis book provides scalable, effective and real-world-compatible methods and algorithms for the control and extended estimation of uncertain nonlinear systems against a backdrop of often-unconventional problems. The author provides advice on choosing which solution is most relevant to the desired control objectives, the nature of present uncertainties and the impact on closed-loop performance.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp style=\"line-height: 115%;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; color: #44546a; mso-themecolor: text2; mso-ansi-language: EN-US;\"\u003eThe book introduces its key paradigms step by step and then presents the family of candidate solutions in detail along with associated python scripts. It helps the reader develop a critical and comparative point of view and thus to distinguish the best choice of solutions, some of which prove to be conventional and others to employ advanced learning-based methods. This book shows how each category applies to specific groups of problems, but the choice is made based on pragmatic assessments of efficiency and efficacy rather than on dogmatic adherence to the benefits of one or the other.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp style=\"line-height: 115%;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 115%; font-family: 'Calibri',sans-serif; color: #44546a; mso-themecolor: text2; mso-ansi-language: EN-US;\"\u003eAll of the concepts and solutions described in the text are illustrated using significantly challenging problems, wherever possible with real-world relevance. Solutions are implemented using Python scripts, freely downloadable from the author’s GitHub account. Practical features such as messages, cautions, summaries and important comments are clearly presented to aid reading, retention and recall.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp\u003e\u003cem\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11pt; font-family: Calibri, sans-serif; color: rgb(68, 84, 106);\"\u003e\u003cspan style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; color: #44546a; background: white; mso-ansi-language: EN-IN; mso-fareast-language: EN-IN; mso-bidi-language: AR-SA;\"\u003eNonlinear Control of Uncertain Systems\u003c\/span\u003e \u003c\/span\u003e\u003c\/em\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; font-family: 'Calibri',sans-serif; color: #44546a; mso-themecolor: text2; mso-ansi-language: EN-US; mso-fareast-language: EN-US;\"\u003eappeals to both academics and professional practitioners studying and developing nonlinear industrial control systems; its critical comparative appraisal and detailed range of solutions help readers to navigate a complex taxonomy of systems and to find the right solution—learning-based or conventional—for the problems before them.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 107%; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003eMazen Alamir\u003c\/span\u003e\u003c\/strong\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 11.0pt; line-height: 107%; font-family: 'Times New Roman',serif; mso-fareast-font-family: Calibri; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;\"\u003e is Research Director at CNRS, France. He graduated in mechanics (Grenoble, 1990) and avionics (Toulouse 1992). He received his Ph.D. in nonlinear model predictive control in 1995 from Grenoble Institute of Technology. He served as Head of the nonlinear systems and complexity research group at the Control System Department, University of Grenoble-Alpes. His main research topics are nonlinear model predictive control, nonlinear moving-horizon estimators and blind anomaly detection in engineering equipments. He was Member of the IFAC technical committee on nonlinear systems as well as the IEEE Conference Editorial Board and served as Associate Editor of the \u003cem\u003eIEEE Transactions on Automatic Control\u003c\/em\u003e (2008-2021). He organized the first IFAC workshop on NMPC for Fast Systems, Grenoble 2006. He is Co-Founder and Scientific Advisor of the startup Amiral-Technologies, specialized in AI algorithms for industrial predictive maintenance and diagnosis, and Winner of the 2017 GE-digital industrial challenge.\u003c\/span\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e25 May 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer Nature Switzerland\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9783031932861\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e623\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44309901738124,"sku":"9783031932861","price":197.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031932861.jpg?v=1780603176","url":"https:\/\/lateknightbooks.com\/products\/9783031932861","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}