Download Delay Compensation for Nonlinear, Adaptive, and PDE Systems by Miroslav Krstic PDF

By Miroslav Krstic

Some of the commonest dynamic phenomena that come up in engineering practice—actuator and sensor delays—fall open air the scope of normal finite-dimensional approach idea. the 1st test at infinite-dimensional suggestions layout within the box of regulate systems—the Smith predictor—has remained constrained to linear finite-dimensional crops during the last 5 a long time. laying off mild on new possibilities in predictor suggestions, this publication considerably broadens the set of suggestions on hand to a mathematician or engineer engaged on hold up systems.

The publication is a set of instruments and strategies that make predictor suggestions principles appropriate to nonlinear platforms, platforms modeled through PDEs, structures with hugely doubtful or thoroughly unknown input/output delays, and structures whose actuator or sensor dynamics are modeled by way of extra basic hyperbolic or parabolic PDEs, instead of by way of natural delay.

Specific positive aspects and themes include:

* A development of specific Lyapunov functionals, which might be utilized in keep watch over layout or balance research, resulting in a answer of numerous long-standing difficulties in predictor feedback.

* an in depth remedy of person periods of problems—nonlinear ODEs, parabolic PDEs, first-order hyperbolic PDEs, second-order hyperbolic PDEs, identified time-varying delays, unknown consistent delays—will support the reader grasp the ideas presented.

* various examples ease a pupil new to hold up structures into the topic.

* minimum must haves: the fundamentals of functionality areas and Lyapunov concept for ODEs.

* the fundamentals of Poincaré and Agmon inequalities, Lyapunov and input-to-state balance, parameter projection for adaptive keep watch over, and Bessel services are summarized in appendices for the reader’s convenience.

Delay reimbursement for Nonlinear, Adaptive, and PDE Systems is a wonderful reference for graduate scholars, researchers, and practitioners in arithmetic, structures keep watch over, in addition to chemical, mechanical, electric, desktop, aerospace, and civil/structural engineering. elements of the booklet can be used in graduate classes on common disbursed parameter platforms, linear hold up structures, PDEs, nonlinear keep watch over, nation estimator and observers, adaptive keep watch over, powerful keep an eye on, or linear time-varying systems.

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Additional info for Delay Compensation for Nonlinear, Adaptive, and PDE Systems

Sample text

We have V˙ (t) = X(t)T ((A + BK)T P + P(A + BK))X(t) D a a + 2X(t)T PBw(0,t) − w(0,t)2 − 2 2 D 2 a ≤ −X(t)T QX(t) + |X(t)T PB|2 − a 2 Let us choose a= w(x,t)2 dx 0 0 w(x,t)2 dx . 52) where λmin and λmax are the minimum and maximum eigenvalues of the corresponding matrices. Then 2λmax (PBBT P) λmin (Q) |X(t)|2 − V˙ (t) ≤ − 2 λmin (Q) ≤− λmin (Q) 2λmax (PBBT P) |X(t)|2 − 2 (1 + D)λmin(Q) =− λmin (Q) a |X(t)|2 − 2 2(1 + D) ≤ − min So we obtain D 0 D w(x,t)2 dx 0 D 0 (1 + x)w(x,t)2 dx (1 + x)w(x,t)2 dx 1 λmin (Q) , V (t) .

42) and the simple, intuitive design based on the reduction approach do not equip the designer with a tool for Lyapunov–Krasovskii stability analysis. The reason for this is that the transformation P(t) is only a transformation of the ODE state X(t), rather than also providing a suitable change of variable for the infinite-dimensional actuator state u(x,t). As a result, the analysis in [8, 121, 135] does not capture the entire system consisting of the ODE plant and the infinite-dimensional subsystem of the input delay.

Our design yields a classical control formula obtained through various other approaches—modified Smith predictor (mSP), finite spectrum assignment (FSA), and the Artstein–Kwon–Pierson “reduction” approach. The backstepping approach is distinct because it provides a construction of an infinitedimensional transformation of the actuator state, which yields a cascade system of transformed stable actuator dynamics and stabilized plant dynamics. Our design results in the construction of an explicit Lyapunov–Krasovskii functional and an explicit exponential stability estimate.

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