CONTROL ORIENTED SYSTEM IDENTIFICATION: AN H∞ APPROACH BY JIE CHEN, GUOXIANG GU
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CONTROL ORIENTED SYSTEM IDENTIFICATION: AN H∞ APPROACH BY JIE CHEN, GUOXIANG GU PDF
Control Oriented System Identification: An H∞ Approach By Jie Chen, Guoxiang Gu When creating can alter your life, when composing can enrich you by supplying much money, why don't you try it? Are you still extremely baffled of where understanding? Do you still have no idea with what you are going to write? Now, you will need reading Control Oriented System Identification: An H∞ Approach By Jie Chen, Guoxiang Gu A good author is an excellent visitor at the same time. You can specify exactly how you compose depending upon exactly what publications to review. This Control Oriented System Identification: An H∞ Approach By Jie Chen, Guoxiang Gu could aid you to solve the problem. It can be one of the right resources to create your composing ability.
Review "This is a valuable, pleasingly well-written book..." (Computing & Control Engineering Journal, February 2001) "...the first to offer comprehensive coverage...valuable both to researchers entering the field and...those already working in it?as a textbook, the book will be very useful..." (International Journal of Robust and Linear Control, Vol. 13, April 2003) "...this is a self-contained reference to the theory of system identification for optimal control in the presence of system uncertainty...which will appeal to engineers and researchers....the mathematical background chapter is a bonus, not easily found within other recently published references on the subject." (IEEE Circuits & Devices Magazine, March 2003)
From the Back Cover A comprehensive, one-stop reference for new system modeling and identification tools The field of control-oriented identification has grown immensely over the past decade, spawning numerous results and modeling techniques and promising the potential to influence science and engineering for years to come. In this new work, Jie Chen and Guoxiang Gu, two leading authorities on worst-case identification, share their vision and walk readers through carefully selected topics from the vast literature, offering a much-needed, timely comprehensive introduction to the theory of H? identification and model validation. Chen and Gu clearly demonstrate the pros and cons of the worst-case approach in comparison to traditional techniques and provide researchers in systems and control theory with ready access to many new and complementary identification tools. Through a rigorous yet logical and easy-tofollow treatment, supported by many deep insights, intuitions, and philosophical thinking, they:
● ● ● ●
● ● ●
Survey and assess the current state of control and system identification research Develop both two-stage and interpolatory algorithms for system identification Show readers how to analyze the properties of linear algorithms Offer a unique emphasis on model uncertainty estimation and complexity, two of the central issues Develop both time-domain and frequency-domain identification algorithms Explain in detail uncertainty model validation concepts and techniques Devote a chapter to a review of the requisite mathematics
Provide a concise yet self-contained appendix on several key relevant notions
About the Author JIE CHEN, PhD, is Professor of Electrical Engineering at the University of California, Riverside. GUOXIANG GU, PhD, is Professor in the Department of Electrical and Computer Engineering at Louisiana State University, Baton Rouge.
CONTROL ORIENTED SYSTEM IDENTIFICATION: AN H∞ APPROACH BY JIE CHEN, GUOXIANG GU PDF
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CONTROL ORIENTED SYSTEM IDENTIFICATION: AN H∞ APPROACH BY JIE CHEN, GUOXIANG GU PDF
A comprehensive, one-stop reference for new system modeling and identification tools The field of control-oriented identification has grown immensely over the past decade, spawning numerous results and modeling techniques and promising the potential to influence science and engineering for years to come. In this new work, Jie Chen and Guoxiang Gu, two leading authorities on worst-case identification, share their vision and walk readers through carefully selected topics from the vast literature, offering a much-needed, timely comprehensive introduction to the theory of H identification and model validation. Chen and Gu clearly demonstrate the pros and cons of the worst-case approach in comparison to traditional techniques and provide researchers in systems and control theory with ready access to many new and complementary identification tools. Through a rigorous yet logical and easy-tofollow treatment, supported by many deep insights, intuitions, and philosophical thinking, they: ● ● ● ●
● ● ● ●
● ● ● ● ● ● ●
Survey and assess the current state of control and system identification research Develop both two-stage and interpolatory algorithms for system identification Show readers how to analyze the properties of linear algorithms Offer a unique emphasis on model uncertainty estimation and complexity, two of the central issues Develop both time-domain and frequency-domain identification algorithms Explain in detail uncertainty model validation concepts and techniques Devote a chapter to a review of the requisite mathematics Provide a concise yet self-contained appendix on several key relevant notions Sales Rank: #5102727 in Books Published on: 2000-06-16 Original language: English Number of items: 1 Dimensions: 9.57" h x 1.06" w x 6.44" l, 1.60 pounds Binding: Hardcover 440 pages
Review "This is a valuable, pleasingly well-written book..." (Computing & Control Engineering Journal, February 2001) "...the first to offer comprehensive coverage...valuable both to researchers entering the field and...those already working in it?as a textbook, the book will be very useful..." (International Journal of Robust and Linear Control, Vol. 13, April 2003)
"...this is a self-contained reference to the theory of system identification for optimal control in the presence of system uncertainty...which will appeal to engineers and researchers....the mathematical background chapter is a bonus, not easily found within other recently published references on the subject." (IEEE Circuits & Devices Magazine, March 2003)
From the Back Cover A comprehensive, one-stop reference for new system modeling and identification tools The field of control-oriented identification has grown immensely over the past decade, spawning numerous results and modeling techniques and promising the potential to influence science and engineering for years to come. In this new work, Jie Chen and Guoxiang Gu, two leading authorities on worst-case identification, share their vision and walk readers through carefully selected topics from the vast literature, offering a much-needed, timely comprehensive introduction to the theory of H? identification and model validation. Chen and Gu clearly demonstrate the pros and cons of the worst-case approach in comparison to traditional techniques and provide researchers in systems and control theory with ready access to many new and complementary identification tools. Through a rigorous yet logical and easy-tofollow treatment, supported by many deep insights, intuitions, and philosophical thinking, they: ● ● ● ●
● ● ●
Survey and assess the current state of control and system identification research Develop both two-stage and interpolatory algorithms for system identification Show readers how to analyze the properties of linear algorithms Offer a unique emphasis on model uncertainty estimation and complexity, two of the central issues Develop both time-domain and frequency-domain identification algorithms Explain in detail uncertainty model validation concepts and techniques Devote a chapter to a review of the requisite mathematics
Provide a concise yet self-contained appendix on several key relevant notions
About the Author JIE CHEN, PhD, is Professor of Electrical Engineering at the University of California, Riverside. GUOXIANG GU, PhD, is Professor in the Department of Electrical and Computer Engineering at Louisiana State University, Baton Rouge. Most helpful customer reviews See all customer reviews...
CONTROL ORIENTED SYSTEM IDENTIFICATION: AN H∞ APPROACH BY JIE CHEN, GUOXIANG GU PDF
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From the Back Cover A comprehensive, one-stop reference for new system modeling and identification tools The field of control-oriented identification has grown immensely over the past decade, spawning numerous results and modeling techniques and promising the potential to influence science and engineering for years to come. In this new work, Jie Chen and Guoxiang Gu, two leading authorities on worst-case identification, share their vision and walk readers through carefully selected topics from the vast literature, offering a much-needed, timely comprehensive introduction to the theory of H? identification and model validation. Chen and Gu clearly demonstrate the pros and cons of the worst-case approach in comparison to traditional techniques and provide researchers in systems and control theory with ready access to many new and complementary identification tools. Through a rigorous yet logical and easy-tofollow treatment, supported by many deep insights, intuitions, and philosophical thinking, they: ● ● ● ●
Survey and assess the current state of control and system identification research Develop both two-stage and interpolatory algorithms for system identification Show readers how to analyze the properties of linear algorithms Offer a unique emphasis on model uncertainty estimation and complexity, two of the central
● ● ●
issues Develop both time-domain and frequency-domain identification algorithms Explain in detail uncertainty model validation concepts and techniques Devote a chapter to a review of the requisite mathematics
Provide a concise yet self-contained appendix on several key relevant notions
About the Author JIE CHEN, PhD, is Professor of Electrical Engineering at the University of California, Riverside. GUOXIANG GU, PhD, is Professor in the Department of Electrical and Computer Engineering at Louisiana State University, Baton Rouge.
Control Oriented System Identification: An H∞ Approach By Jie Chen, Guoxiang Gu When creating can alter your life, when composing can enrich you by supplying much money, why don't you try it? Are you still extremely baffled of where understanding? Do you still have no idea with what you are going to write? Now, you will need reading Control Oriented System Identification: An H∞ Approach By Jie Chen, Guoxiang Gu A good author is an excellent visitor at the same time. You can specify exactly how you compose depending upon exactly what publications to review. This Control Oriented System Identification: An H∞ Approach By Jie Chen, Guoxiang Gu could aid you to solve the problem. It can be one of the right resources to create your composing ability.
