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Rosenbrock system matrix

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837: 456: 232: 673: 97: 330: 139: 555: 488: 595: 575: 528: 508: 320: 300: 277: 257: 154: 616: 878: 681: 688:
in MATLAB. An interpretation of the Rosenbrock System Matrix as a Linear Fractional Transformation can be found in.
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One of the first applications of the Rosenbrock form was the development of an efficient computational method for
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For computational purposes, a short form of the Rosenbrock system matrix is more appropriate and given by
897: 52: 25: 451:{\displaystyle g_{ij}={\frac {\begin{vmatrix}sI-A&-b_{i}\\c_{j}&d_{ij}\end{vmatrix}}{|sI-A|}}} 871: 695:, which is based on the pivot element method. A variant of Rosenbrock’s method is implemented in the 29: 852: 902: 33: 103: 912: 754: 864: 844: 803: 692: 533: 466: 8: 807: 580: 560: 513: 493: 305: 285: 262: 242: 816: 791: 907: 811: 720:
Rosenbrock, H. H. (1967). "Transformation of linear constant system equations".
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Based in this representation, Rosenbrock developed his version of the PBH test.
848: 891: 227:{\displaystyle P(s)={\begin{pmatrix}sI-A&-B\\C&D\end{pmatrix}}.} 700: 680:
The short form of the Rosenbrock system matrix has been widely used in
792:"Minimal state-space realization in linear system theory: an overview" 24:
of a linear time-invariant system is a useful representation bridging
668:{\displaystyle P\sim {\begin{pmatrix}A&B\\C&D\end{pmatrix}}.} 836: 684:, where it is also referred to as packed form; see command 239:
In the original work by Rosenbrock, the constant matrix
631: 356: 178: 619: 583: 563: 536: 516: 496: 469: 333: 308: 288: 265: 245: 157: 106: 55: 775:Zhou, Kemin; Doyle, John C.; Glover, Keith (1995). 667: 589: 569: 549: 522: 502: 482: 450: 314: 294: 271: 251: 226: 133: 91: 889: 796:Journal of Computational and Applied Mathematics 774: 872: 789: 879: 865: 738: 719: 146:The Rosenbrock system matrix is given by 815: 282:The transfer function between the input 890: 831: 741:State-Space and Multivariable Theory 682:H-infinity methods in control theory 755:"Mu Analysis and Synthesis Toolbox" 13: 14: 924: 259:is allowed to be a polynomial in 92:{\displaystyle {\dot {x}}=Ax+Bu,} 32:form. It was proposed in 1967 by 835: 783: 768: 747: 732: 713: 441: 424: 167: 161: 1: 817:10.1016/S0377-0427(00)00341-1 706: 603: 39: 851:. You can help Knowledge by 44:Consider the dynamic system 16:In applied mathematics, the 7: 10: 929: 830: 777:Robust and Optimal Control 739:Rosenbrock, H. H. (1970). 26:state-space representation 22:Rosenbrock's system matrix 790:De Schutter, B. (2000). 134:{\displaystyle y=Cx+Du.} 30:transfer function matrix 18:Rosenbrock system matrix 699:command of Matlab and 669: 591: 571: 551: 524: 504: 484: 452: 316: 296: 273: 253: 228: 135: 93: 670: 592: 572: 552: 550:{\displaystyle c_{j}} 525: 505: 485: 483:{\displaystyle b_{i}} 453: 317: 297: 274: 254: 229: 136: 94: 693:Kalman decomposition 617: 581: 561: 534: 514: 494: 467: 331: 306: 286: 263: 243: 155: 104: 53: 34:Howard H. Rosenbrock 843:This article about 808:2000JCoAM.121..331S 898:1967 introductions 665: 656: 587: 567: 547: 520: 500: 480: 448: 417: 312: 292: 269: 249: 224: 215: 131: 89: 860: 859: 590:{\displaystyle C} 570:{\displaystyle j} 523:{\displaystyle B} 503:{\displaystyle i} 446: 315:{\displaystyle j} 295:{\displaystyle i} 272:{\displaystyle s} 252:{\displaystyle D} 65: 920: 881: 874: 867: 839: 832: 822: 821: 819: 802:(1–2): 331–354. 787: 781: 780: 779:. Prentice Hall. 772: 766: 765: 763: 761: 751: 745: 744: 736: 730: 729: 717: 674: 672: 671: 666: 661: 660: 596: 594: 593: 588: 576: 574: 573: 568: 556: 554: 553: 548: 546: 545: 529: 527: 526: 521: 509: 507: 506: 501: 489: 487: 486: 481: 479: 478: 457: 455: 454: 449: 447: 445: 444: 427: 421: 414: 413: 399: 398: 385: 384: 351: 346: 345: 321: 319: 318: 313: 301: 299: 298: 293: 278: 276: 275: 270: 258: 256: 255: 250: 233: 231: 230: 225: 220: 219: 140: 138: 137: 132: 98: 96: 95: 90: 67: 66: 58: 928: 927: 923: 922: 921: 919: 918: 917: 888: 887: 886: 885: 828: 826: 825: 788: 784: 773: 769: 759: 757: 753: 752: 748: 737: 733: 718: 714: 709: 655: 654: 649: 643: 642: 637: 627: 626: 618: 615: 614: 606: 582: 579: 578: 562: 559: 558: 541: 537: 535: 532: 531: 515: 512: 511: 495: 492: 491: 474: 470: 468: 465: 464: 440: 423: 422: 416: 415: 406: 402: 400: 394: 390: 387: 386: 380: 376: 371: 352: 350: 338: 334: 332: 329: 328: 307: 304: 303: 287: 284: 283: 264: 261: 260: 244: 241: 240: 214: 213: 208: 202: 201: 193: 174: 173: 156: 153: 152: 105: 102: 101: 57: 56: 54: 51: 50: 42: 12: 11: 5: 926: 916: 915: 910: 905: 903:Control theory 900: 884: 883: 876: 869: 861: 858: 857: 840: 824: 823: 782: 767: 746: 731: 711: 710: 708: 705: 678: 677: 676: 675: 664: 659: 653: 650: 648: 645: 644: 641: 638: 636: 633: 632: 630: 625: 622: 605: 602: 586: 566: 544: 540: 519: 499: 490:is the column 477: 473: 461: 460: 459: 458: 443: 439: 436: 433: 430: 426: 420: 412: 409: 405: 401: 397: 393: 389: 388: 383: 379: 375: 372: 370: 367: 364: 361: 358: 357: 355: 349: 344: 341: 337: 311: 291: 268: 248: 237: 236: 235: 234: 223: 218: 212: 209: 207: 204: 203: 200: 197: 194: 192: 189: 186: 183: 180: 179: 177: 172: 169: 166: 163: 160: 144: 143: 142: 141: 130: 127: 124: 121: 118: 115: 112: 109: 99: 88: 85: 82: 79: 76: 73: 70: 64: 61: 41: 38: 9: 6: 4: 3: 2: 925: 914: 911: 909: 906: 904: 901: 899: 896: 895: 893: 882: 877: 875: 870: 868: 863: 862: 856: 854: 850: 846: 841: 838: 834: 833: 829: 818: 813: 809: 805: 801: 797: 793: 786: 778: 771: 756: 750: 742: 735: 727: 723: 716: 712: 704: 702: 698: 694: 689: 687: 683: 662: 657: 651: 646: 639: 634: 628: 623: 620: 613: 612: 611: 610: 609: 601: 598: 584: 564: 542: 538: 517: 497: 475: 471: 437: 434: 431: 428: 418: 410: 407: 403: 395: 391: 381: 377: 373: 368: 365: 362: 359: 353: 347: 342: 339: 335: 327: 326: 325: 324: 323: 322:is given by 309: 289: 280: 266: 246: 221: 216: 210: 205: 198: 195: 190: 187: 184: 181: 175: 170: 164: 158: 151: 150: 149: 148: 147: 128: 125: 122: 119: 116: 113: 110: 107: 100: 86: 83: 80: 77: 74: 71: 68: 62: 59: 49: 48: 47: 46: 45: 37: 35: 31: 27: 23: 19: 913:Matrix stubs 853:expanding it 842: 827: 799: 795: 785: 776: 770: 758:. Retrieved 749: 740: 734: 725: 721: 715: 696: 690: 685: 679: 607: 599: 462: 281: 238: 145: 43: 21: 17: 15: 557:is the row 302:and output 892:Categories 728:: 541–544. 707:References 701:GNU Octave 604:Short form 40:Definition 760:25 August 743:. Nelson. 722:Proc. IEE 624:∼ 435:− 374:− 366:− 196:− 188:− 63:˙ 908:Matrices 845:matrices 804:Bibcode 697:minreal 463:where 847:is a 849:stub 762:2014 530:and 28:and 812:doi 800:121 726:114 686:pck 577:of 510:of 20:or 894:: 810:. 798:. 794:. 724:. 703:. 597:. 279:. 36:. 880:e 873:t 866:v 855:. 820:. 814:: 806:: 764:. 663:. 658:) 652:D 647:C 640:B 635:A 629:( 621:P 585:C 565:j 543:j 539:c 518:B 498:i 476:i 472:b 442:| 438:A 432:I 429:s 425:| 419:| 411:j 408:i 404:d 396:j 392:c 382:i 378:b 369:A 363:I 360:s 354:| 348:= 343:j 340:i 336:g 310:j 290:i 267:s 247:D 222:. 217:) 211:D 206:C 199:B 191:A 185:I 182:s 176:( 171:= 168:) 165:s 162:( 159:P 129:. 126:u 123:D 120:+ 117:x 114:C 111:= 108:y 87:, 84:u 81:B 78:+ 75:x 72:A 69:= 60:x

Index

state-space representation
transfer function matrix
Howard H. Rosenbrock
H-infinity methods in control theory
Kalman decomposition
GNU Octave
"Mu Analysis and Synthesis Toolbox"
"Minimal state-space realization in linear system theory: an overview"
Bibcode
2000JCoAM.121..331S
doi
10.1016/S0377-0427(00)00341-1
Stub icon
matrices
stub
expanding it
v
t
e
Categories
1967 introductions
Control theory
Matrices
Matrix stubs

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