LEADER 04162nam 2200517Ia 450 001 9910438044603321 005 20200520144314.0 010 $a1-4471-5040-6 024 7 $a10.1007/978-1-4471-5040-4 035 $a(OCoLC)837575525 035 $a(MiFhGG)GVRL6XAY 035 $a(CKB)2550000001043718 035 $a(MiAaPQ)EBC1205278 035 $a(EXLCZ)992550000001043718 100 $a20130410d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aLinear parameter-varying control for engineering applications /$fAndrew P. White, Guoming Zhu, Jongeun Choi 205 $a1st ed. 2013. 210 $aLondon ;$aNew York $cSpringer$dc2013 215 $a1 online resource (xiii, 110 pages) $cillustrations 225 1 $aSpringerBriefs in electrical and computer engineering, Control, automation and robotics,$x2191-8112 300 $a"ISSN: 2192-6786." 311 $a1-4471-5039-2 320 $aIncludes bibliographical references. 327 $aIntroduction -- Linear Parameter-Varying Modeling and Control Synthesis Methods -- Weight Selection and Tuning -- Gain-Scheduling Control of Port-Fuel-Injection Processes -- Mixed H2/H-infinity Observer-Based LPV Control of a Hydraulic Engine Cam Phasing Actuator. 330 $aThe objective of this brief is to carefully illustrate a procedure of applying linear parameter-varying (LPV) control to a class of dynamic systems via a systematic synthesis of gain-scheduling controllers with guaranteed stability and performance. The existing LPV control theories rely on the use of either H-infinity or H2 norm to specify the performance of the LPV system.  The challenge that arises with LPV control for engineers is twofold. First, there is no systematic procedure for applying existing LPV control system theory to solve practical engineering problems from modeling to control design. Second, there exists no LPV control synthesis theory to design LPV controllers with hard constraints. For example, physical systems usually have hard constraints on their required performance outputs along with their sensors and actuators. Furthermore, the H-infinity and H2 performance criteria cannot provide hard constraints on system outputs. As a result, engineers in industry could find it difficult to utilize the current LPV methods in practical applications. To address these challenges, gain-scheduling control with engineering applications is covered in detail, including the LPV modeling, the control problem formulation, and the LPV system performance specification. In addition, a new performance specification is considered which is capable of providing LPV control design with hard constraints on system outputs. The LPV design and control synthesis procedures in this brief are illustrated through an engine air-to-fuel ratio control system, an engine variable valve timing control system, and an LPV control design example with hard constraints. After reading this brief, the reader will be able to apply a collection of LPV control synthesis techniques to design gain-scheduling controllers for their own engineering applications. This brief provides detailed step-by-step LPV modeling and control design strategies along with a new performance specification so that engineers can apply state-of-the-art LPV control synthesis to solve their own engineering problems. In addition, this brief should serve as a bridge between the H-infinity and H2 control theory and the real-world application of gain-scheduling control. 410 0$aSpringerBriefs in electrical and computer engineering.$pControl, automation and robotics. 606 $aLinear control systems 606 $aAutomation 615 0$aLinear control systems. 615 0$aAutomation. 676 $a629.8 700 $aWhite$b Andrew P$01059620 701 $aZhu$b Guoming$01758445 701 $aChoi$b Jongeun$01758446 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910438044603321 996 $aLinear parameter-varying control for engineering applications$94196645 997 $aUNINA