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Control Theory for Engineers

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Control Theory for Engineers
Lowest price (incl. delivery)
153,39 EUR
Typical price3 106,07 PLN
Lowest (90 days)128,39 PLN
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Last updated1 săptămână în urmă
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2026-08-08 2026-08-15
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2026-08-08128,39
2026-08-15139,99
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SP Springer Nature Author 128,39 EUR 25,00 EUR 153,39 EUR Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 22 879,00 JPY 19,00 JPY 22 898,00 JPY Disponibil 1 săptămână în urmă View offer
SP Springer Nature Author 22 879,00 JPY free 22 879,00 JPY Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 159,99 USD 15,00 USD 174,99 USD Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 179,99 USD free 179,99 USD Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 179,99 USD 29,00 USD 208,99 USD Disponibil 1 săptămână în urmă View offer
SP SpringerNatureLink Shop INT 189,00 EUR free 189,00 EUR Disponibil 1 săptămână în urmă View offer

Prețurile și disponibilitatea se pot modifica. Ultima actualizare: 15.08.2026 04:46.

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Control Theory is at the heart of information and communication technologies of complex systems. It can contribute to meeting the energy and environmental challenges we are facing. The textbook is organized in the way an engineer classically proceeds to solve a control problem, that is, elaboration of a mathematical model capturing the process behavior, analysis of this model and design of a control to achieve the desired objectives. It is divided into three Parts. The first part of the text addresses modeling aspects through state space and input-output representations. The notion of the internal state of a system (for example mechanical, thermal or electrical), as well as its description using a finite number of variables, is also emphasized. The second part is devoted to the stability analysis of an equilibrium point. The authors present classical tools for stability analysis, such as linearization techniques and Lyapunov functions. Central to Control Theory are the notions of feedback and of closed-loop, and the third part of the textbook describes the linear control synthesis in a continuous and discrete-time framework and also in a probabilistic context. Quadratic optimization and Kalman filtering are presented, as well as the polynomial representation, a convenient approach to reject perturbations on the system without making the control law more complex. Throughout the text, different examples are developed, both in the chapters and in the exercises.

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