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PID Passivity-Based Control of Nonlinear Systems with Applications. Romeo Ortega
Читать онлайн.Название PID Passivity-Based Control of Nonlinear Systems with Applications
Год выпуска 0
isbn 9781119694182
Автор произведения Romeo Ortega
Жанр Отраслевые издания
Издательство John Wiley & Sons Limited
José Guadalupe Romero
Pablo Borja
Alejandro Donaire
Acronyms
ACalternate currentAMMassumed modes methodCbIcontrol by interconnectionCLcontrolled LagrangiansDACdigital‐to‐analog converterDCdirect currentDOFdegree(s)‐of‐freedomELEuler–LagrangeFOCfield‐oriented controlGASglobally asymptotically stableGESglobal exponential stabilityHVDChigh‐voltage direct currentIAintegral actionIDAinterconnection and damping assignmentIISSintegral input‐to‐state stabilityISSinput‐to‐state stabilityLMIlinear matrix inequalityLTIlinear time‐invariantMDICSmatched disturbance integral controlled systemPBCpassivity‐based controlPDEpartial differential equationPEMproton exchange membranepHport‐HamiltonianPDproportional‐derivativePIproportional‐integralPIDproportional‐integral‐derivativePMSGpermanent magnet synchronous generatorPMSMpermanent magnet synchronous motorPWMpulse‐width modulationSPRstrictly positive realVSRvoltage source rectifiersVTOLvertical take‐off and landing
Notation
Given a vector , the symbol
denotes its Euclidean norm, i.e.
. We denote the
th element of
as
. The
th element of the canonical basis of
is represented by
. To ease the readability, column vectors are also expressed as
.
Consider the matrix , then
denotes the
th column of
,
the
th row of
, and
the
th element of
. Moreover,
denotes the transpose of
. Given a square matrix
,
. To simplify the notation, we express diagonal matrices as
, where
are the diagonal elements of the matrix.
The symbol denotes the
identity matrix. The symbol
refers to the
th eigenvalue of
. In particular,
,
denote the largest and the smallest eigenvalue of
, respectively. A matrix is said to be positive semidefinite if
and
for all
, and is said to be positive definite if the inequality is strict, i.e.
for all
.
is negative (semi)definite if
is positive (semi)definite. For a positive definite matrix
and a vector
, we denote the weighted Euclidean norm as
. The notation used for constant matrices is directly extended to the nonconstant case.
Unless something different is stated, all the functions treated in this book are assumed to be smooth. Moreover, the symbol is reserved to express time, where we assume
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