C. James Taylor – författare
Papers of John Adams
January–September 1781
1 349 kr
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Papers of John Adams
October 1781 – April 1782
1 349 kr
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Adams Family Correspondence, Volume 7
January 1786 – February 1787
1 180 kr
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Papers of John Adams
May–October 1782
802 kr
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Adams Family Correspondence, Volume 8
March 1787 – December 1789
1 198 kr
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Papers of John Adams
October 1782 – May 1783
1 222 kr
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Adams Family Correspondence, Volume 9
January 1790 – December 1793
1 171 kr
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318 kr
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Papers of John Adams
June 1783 – January 1784
1 166 kr
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256 kr
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Diary and Autobiographical Writings of Louisa Catherine Adams
1778–1849
1 739 kr
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Papers of John Adams
February 1784 – March 1785
946 kr
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Adams Family Correspondence, Volume 11
July 1795–February 1797
976 kr
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Adams Family Correspondence, Volume 12
March 1797 – April 1798
931 kr
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Papers of John Adams
December 1785 – January 1787
896 kr
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Papers of John Adams
April–November 1785
976 kr
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1 262 kr
Skickas inom 11-20 vardagar
1 480 kr
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True Digital Control: Statistical Modelling and Non–Minimal State Space Designdevelops a true digital control design philosophy that encompasses data–based model identification, through to control algorithm design, robustness evaluation and implementation. With a heritage from both classical and modern control system synthesis, this book is supported by detailed practical examples based on the authors’ research into environmental, mechatronic and robotic systems. Treatment of both statistical modelling and control design under one cover is unusual and highlights the important connections between these disciplines.
Starting from the ubiquitous proportional–integral controller, and with essential concepts such as pole assignment introduced using straightforward algebra and block diagrams, this book addresses the needs of those students, researchers and engineers, who would like to advance their knowledge of control theory and practice into the state space domain; and academics who are interested to learn more about non–minimal state variable feedback control systems. Such non–minimal state feedback is utilised as a unifying framework for generalised digital control system design. This approach provides a gentle learning curve, from which potentially difficult topics, such as optimal, stochastic and multivariable control, can be introduced and assimilated in an interesting and straightforward manner.
Key features:
Covers both system identification and control system design in a unified manner Includes practical design case studies and simulation examples Considers recent research into time–variable and state–dependent parameter modelling and control, essential elements of adaptive and nonlinear control system design, and the delta–operator (the discrete–time equivalent of the differential operator) systems Accompanied by a website hosting MATLAB examplesTrue Digital Control: Statistical Modelling and Non–Minimal State Space Design is a comprehensive and practical guide for students and professionals who wish to further their knowledge in the areas of modern control and system identification.
1 480 kr
Läs direkt efter köp
True Digital Control: Statistical Modelling and Non–Minimal State Space Designdevelops a true digital control design philosophy that encompasses data–based model identification, through to control algorithm design, robustness evaluation and implementation. With a heritage from both classical and modern control system synthesis, this book is supported by detailed practical examples based on the authors’ research into environmental, mechatronic and robotic systems. Treatment of both statistical modelling and control design under one cover is unusual and highlights the important connections between these disciplines.
Starting from the ubiquitous proportional–integral controller, and with essential concepts such as pole assignment introduced using straightforward algebra and block diagrams, this book addresses the needs of those students, researchers and engineers, who would like to advance their knowledge of control theory and practice into the state space domain; and academics who are interested to learn more about non–minimal state variable feedback control systems. Such non–minimal state feedback is utilised as a unifying framework for generalised digital control system design. This approach provides a gentle learning curve, from which potentially difficult topics, such as optimal, stochastic and multivariable control, can be introduced and assimilated in an interesting and straightforward manner.
Key features:
Covers both system identification and control system design in a unified manner Includes practical design case studies and simulation examples Considers recent research into time–variable and state–dependent parameter modelling and control, essential elements of adaptive and nonlinear control system design, and the delta–operator (the discrete–time equivalent of the differential operator) systems Accompanied by a website hosting MATLAB examplesTrue Digital Control: Statistical Modelling and Non–Minimal State Space Design is a comprehensive and practical guide for students and professionals who wish to further their knowledge in the areas of modern control and system identification.
295 kr
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154 kr
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