04331nam 22006735 450 991048361500332120200703215059.03-030-18228-210.1007/978-3-030-18228-1(CKB)4100000008280432(MiAaPQ)EBC5779985(DE-He213)978-3-030-18228-1(PPN)242509274(EXLCZ)99410000000828043220190521d2019 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAnalytical Design of PID Controllers /by Iván D. Díaz-Rodríguez, Sangjin Han, Shankar P. Bhattacharyya1st ed. 2019.Cham :Springer International Publishing :Imprint: Springer,2019.1 online resource (304 pages)3-030-18227-4 Includes bibliographical references and index.Introduction to Control -- Stabilizing Sets for Linear Time Invariant Continuous-Time Plants -- Stabilizing Sets for Ziegler-Nichols Plants -- Stabilizing Sets for Linear Time Invariant Discrete-Time Plants -- Computation of Stabilizing Sets From Frequency Response Data -- Gain and Phase Margin Based Design for Continuous-Time Plants -- Gain-Phase Margin Based Design of Discrete Time Controllers -- PID Control of Multivariable Systems -- H∞ Optimal Synthesis for Continuous-Time Systems -- H∞ Optimal Synthesis for Discrete-Time Systems.This monograph presents a new analytical approach to the design of proportional-integral-derivative (PID) controllers for linear time-invariant plants. The authors develop a computer-aided procedure, to synthesize PID controllers that satisfy multiple design specifications. A geometric approach, which can be used to determine such designs methodically using 2- and 3-D computer graphics is the result. The text expands on the computation of the complete stabilizing set previously developed by the authors and presented here. This set is then systematically exploited to achieve multiple design specifications simultaneously. These specifications include classical gain and phase margins, time-delay tolerance, settling time and H-infinity norm bounds. The results are developed for continuous- and discrete-time systems. An extension to multivariable systems is also included. Analytical Design of PID Controllers provides a novel method of designing PID controllers, which makes it ideal for both researchers and professionals working in traditional industries as well as those connected with unmanned aerial vehicles, driverless cars and autonomous robots. .Control engineeringChemical engineeringRoboticsSystem theoryAerospace engineeringAstronauticsControl and Systems Theoryhttps://scigraph.springernature.com/ontologies/product-market-codes/T19010Industrial Chemistry/Chemical Engineeringhttps://scigraph.springernature.com/ontologies/product-market-codes/C27000Roboticshttps://scigraph.springernature.com/ontologies/product-market-codes/I21050Systems Theory, Controlhttps://scigraph.springernature.com/ontologies/product-market-codes/M13070Aerospace Technology and Astronauticshttps://scigraph.springernature.com/ontologies/product-market-codes/T17050Control engineering.Chemical engineering.Robotics.System theory.Aerospace engineering.Astronautics.Control and Systems Theory.Industrial Chemistry/Chemical Engineering.Robotics.Systems Theory, Control.Aerospace Technology and Astronautics.670.427629.8Díaz-Rodríguez Iván Dauthttp://id.loc.gov/vocabulary/relators/aut1225160Han Sangjinauthttp://id.loc.gov/vocabulary/relators/autBhattacharyya Shankar Pauthttp://id.loc.gov/vocabulary/relators/autBOOK9910483615003321Analytical Design of PID Controllers2844687UNINA