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Nonlinear And Adaptive Control Design Pdf

nonlinear and adaptive control design pdf

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Qi, G. Tao and B.

Nonlinear and adaptive control de-sign

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Krstic and I. Kanellakopoulos and P. Krstic , I. Kanellakopoulos , P. Kokotovic Published Mathematics, Computer Science. From the Publisher: Using a pedagogical style along with detailed proofs and illustrative examples, this book opens a view to the largely unexplored area of nonlinear systems with uncertainties.

The focus is on adaptive nonlinear control results introduced with the new recursive design methodology--adaptive backstepping. Describes basic tools for nonadaptive backstepping design with state and output feedbacks. Save to Library. Create Alert. Launch Research Feed. Share This Paper. Background Citations.

Methods Citations. Results Citations. Topics from this paper. Citation Type. Has PDF. Publication Type. More Filters. Towards applied nonlinear adaptive control. Highly Influenced. View 7 excerpts, cites background and methods. Research Feed. Adaptive Control: A Tutorial Introduction.

Global adaptive stabilization of cascade nonlinear systems. Adaptive control of first-order systems with nonlinear parameterization. Adaptive state feedback design via immersion and invariance. Nonlinear adaptive controller with integral action.

Adaptive tracking strategy for a class of nonlinear systems. Output-feedback nonlinear adaptive control with implicit reference model. Adaptive Control Design for Nonlinear Systems. View 3 excerpts, cites background and methods. Nonlinear integral control. Related Papers. Abstract Topics 4, Citations Related Papers. By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy , Terms of Service , and Dataset License.

Nonlinear and adaptive control de-sign

Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Krstic and I. Kanellakopoulos and P. Krstic , I. Kanellakopoulos , P.

This innovative book breaks new ground in nonlinear and adaptive control design for systems with uncertainties. Introducing the recursive backstepping methodology, it shows -- for the first time -- how uncertain systems with severe nonlinearities can be successfully controlled with this new powerful design tool. Communicative and accessible at a level not usually present in research texts, "Nonlinear and Adaptive Control Design" can be used as either a stand-alone or a supplemental text in courses on nonlinear or adaptive control, as well as in control research and applications. It eases the reader into the subject matter, assuming only standard undergraduate knowledge of control theory, and provides a pedagogical presentation of the material, most of which is completely new and not available in other textbooks. Written by the creators of backstepping , the book:. Errata sheet for the first printing. Order from: John Wiley and Sons, Inc.

Nonlinear and Adaptive Control with Applications

Adaptive control is the control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain. For example, as an aircraft flies, its mass will slowly decrease as a result of fuel consumption; a control law is needed that adapts itself to such changing conditions. Adaptive control is different from robust control in that it does not need a priori information about the bounds on these uncertain or time-varying parameters; robust control guarantees that if the changes are within given bounds the control law need not be changed, while adaptive control is concerned with control law changing itself.

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It seems that you're in Germany. We have a dedicated site for Germany. Nonlinear and Adaptive Control with Applications provides a detailed treatment of the design of robust adaptive controllers for nonlinear systems with uncertainties. The authors employ a new tool based on the ideas of system immersion and manifold invariance. Departing, in part, from the Lyapunov-function approach of classical control, new algorithms are delivered for the construction of robust asymptotically-stabilising and adaptive control laws for nonlinear systems.

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