LEADER 04327nam  22006735  450 
001 9910483615003321
005 20200703215059.0
010   $a3-030-18228-2
024 7 $a10.1007/978-3-030-18228-1
035   $a(CKB)4100000008280432
035   $a(MiAaPQ)EBC5779985
035   $a(DE-He213)978-3-030-18228-1
035   $a(PPN)242509274
035   $a(EXLCZ)994100000008280432
100   $a20190521d2019      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAnalytical Design of PID Controllers /$fby Iván D. Díaz-Rodríguez, Sangjin Han, Shankar P. Bhattacharyya
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (304 pages)
311   $a3-030-18227-4 
320   $aIncludes bibliographical references and index.
327   $aIntroduction 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.
330   $aThis 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. .
606   $aAutomatic control
606   $aChemical engineering
606   $aRobotics
606   $aSystem theory
606   $aAerospace engineering
606   $aAstronautics
606   $aControl and Systems Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/T19010
606   $aIndustrial Chemistry/Chemical Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/C27000
606   $aRobotics$3https://scigraph.springernature.com/ontologies/product-market-codes/I21050
606   $aSystems Theory, Control$3https://scigraph.springernature.com/ontologies/product-market-codes/M13070
606   $aAerospace Technology and Astronautics$3https://scigraph.springernature.com/ontologies/product-market-codes/T17050
615  0$aAutomatic control.
615  0$aChemical engineering.
615  0$aRobotics.
615  0$aSystem theory.
615  0$aAerospace engineering.
615  0$aAstronautics.
615 14$aControl and Systems Theory.
615 24$aIndustrial Chemistry/Chemical Engineering.
615 24$aRobotics.
615 24$aSystems Theory, Control.
615 24$aAerospace Technology and Astronautics.
676   $a670.427
676   $a629.8
700   $aDíaz-Rodríguez$b Iván D$4aut$4http://id.loc.gov/vocabulary/relators/aut$01225160
702   $aHan$b Sangjin$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aBhattacharyya$b Shankar P$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910483615003321
996   $aAnalytical Design of PID Controllers$92844687
997   $aUNINA