Introduction to Mathematical Systems Theory: A Behavioral ApproachMathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific disciplines and a resurgence of interest in the modem as well as the classical techniques of applied mathematics. This renewal of interest,both in research and teaching, has led to the establishment of the series: Texts in Applied Mathematics (TAM). The developmentof new courses is a natural consequenceof a high level of excite ment on the research frontier as newer techniques, such as numerical and symbolic computersystems,dynamicalsystems,and chaos, mix with and reinforce the tradi tional methods of applied mathematics. Thus, the purpose of this textbook series is to meet the current and future needs of these advances and encourage the teaching of new courses. TAM will publish textbookssuitable for use in advancedundergraduate and begin ning graduate courses, and will complement the Applied Mathematical Seiences (AMS) series, which will focus on advanced textbooks and research level mono graphs. Preface Tbe purpose of this preface is twofold. Firstly, to give an informal historical in troduction to the subject area of this book, Systems and Control , and secondly, to explain the philosophy of the approach to this subject taken in this book and to outline the topics that will be covered. |
Contents
V | 3 |
VI | 5 |
VIII | 7 |
IX | 10 |
X | 12 |
XI | 17 |
XII | 18 |
XIII | 20 |
XC | 220 |
XCI | 221 |
XCIII | 231 |
XCIV | 234 |
XCV | 237 |
XCVI | 238 |
XCVII | 240 |
XCVIII | 243 |
XIV | 21 |
XV | 29 |
XVII | 30 |
XVIII | 33 |
XIX | 35 |
XX | 39 |
XXII | 44 |
XXIII | 45 |
XXIV | 47 |
XXV | 50 |
XXVI | 53 |
XXVII | 56 |
XXVIII | 58 |
XXIX | 61 |
XXX | 62 |
XXXI | 64 |
XXXII | 65 |
XXXIII | 67 |
XXXV | 68 |
XXXVI | 70 |
XXXVII | 78 |
XXXVIII | 82 |
XXXIX | 96 |
XL | 98 |
XLI | 101 |
XLII | 104 |
XLIII | 105 |
XLIV | 117 |
XLVI | 118 |
XLVII | 123 |
XLVIII | 125 |
L | 127 |
LI | 128 |
LII | 130 |
LIII | 132 |
LIV | 137 |
LV | 140 |
LVI | 142 |
LVII | 143 |
LVIII | 148 |
LXI | 155 |
LXIV | 156 |
LXV | 166 |
LXVI | 168 |
LXVII | 168 |
LXVIII | 169 |
LXIX | 173 |
LXX | 178 |
LXXI | 180 |
LXXII | 183 |
LXXIII | 184 |
LXXIV | 185 |
LXXV | 186 |
LXXVI | 197 |
LXXIX | 198 |
LXXX | 202 |
LXXXI | 203 |
LXXXII | 207 |
LXXXIII | 208 |
LXXXIV | 211 |
LXXXV | 214 |
LXXXVI | 215 |
LXXXVII | 216 |
LXXXVIII | 218 |
XCIX | 251 |
C | 255 |
CI | 259 |
CII | 260 |
CIV | 271 |
CVI | 272 |
CVII | 273 |
CVIII | 275 |
CIX | 279 |
CXI | 279 |
CXII | 279 |
CXIII | 281 |
CXIV | 282 |
CXV | 284 |
CXVI | 285 |
CXVIII | 285 |
CXIX | 285 |
CXX | 285 |
CXXII | 285 |
CXXIV | 289 |
CXXV | 290 |
CXXVI | 291 |
CXXVIII | 292 |
CXXIX | 293 |
CXXX | 294 |
CXXXI | 296 |
CXXXII | 299 |
CXXXIII | 300 |
CXXXIV | 304 |
CXXXV | 305 |
CXXXVII | 313 |
CXL | 316 |
CXLI | 318 |
CXLII | 320 |
CXLIII | 322 |
CXLIV | 327 |
CXLV | 332 |
333 | |
CXLVIII | 336 |
CXLIX | 338 |
CL | 343 |
CLI | 344 |
CLII | 351 |
CLIV | 353 |
CLV | 356 |
CLVI | 357 |
CLVII | 358 |
CLVIII | 360 |
CLIX | 361 |
CLXI | 362 |
CLXII | 363 |
CLXIII | 365 |
CLXIV | 366 |
CLXV | 367 |
CLXVI | 368 |
CLXVII | 369 |
CLXIX | 374 |
CLXX | 376 |
CLXXI | 377 |
CLXXII | 379 |
CLXXIV | 381 |
CLXXV | 383 |
CLXXVI | 387 |
Other editions - View all
Introduction to Mathematical Systems Theory: A Behavioral Approach J.C. Willems,J.W. Polderman Limited preview - 2013 |
Introduction to Mathematical Systems Theory: A Behavioral Approach J.C. Willems,J.W. Polderman No preview available - 2013 |
Common terms and phrases
a₁ algorithm Assume asymptotically stable autonomous B₁ behavior defined behavioral equations Bode plot called canonical form Chapter characteristic polynomial closed loop coefficients column common factor compute Consider the system control law convergence coprime Corollary corresponding Definition denote det(I Determine differential equations dynamical system eigenvalues equilibrium point equivalent Example Exercise exists follows frequency response full row rank given hence Hurwitz i/o behavior i/o system i/s/o representation implies input input/output k₁ Laplace transform latent variables Lemma linear subspace linear systems Lloc Lyapunov Lyapunov function manifest behavior manifest variables mathematical monic polynomial motion nonsingular nonsingular matrix nonzero observer obtain output P₁ pole placement polynomial matrix proof of Theorem Prove R₁ result roots satisfies scalar Section shows space stability step response subspace t₁ trajectory transfer function unimodular matrix v₁ vector w₁ w₂ weak solution x₁ yields zero