000 a
999 _c31208
_d31208
008 220924b xxu||||| |||| 00| 0 eng d
020 _a9789811252310
082 _a621.3822
_bBEN
100 _aBentsman, Joseph
245 _aSignals, instrumentation, control, and machine learning : an integrative introduction
260 _bWorld Scientific,
_c2022
_aNew Jersey :
300 _axviii, 824 p.;
_bill., some color
_c27 cm
365 _b98.00
_cUSD
_d82.70
504 _aIncludes bibliographical references and index.
520 _aThis book stems from a unique and a highly effective approach to introducing signal processing, instrumentation, diagnostics, filtering, control, system integration, and machine learning. It presents the interactive industrial grade software testbed of mold oscillator that captures the distortion induced by beam resonance and uses this testbed as a virtual lab to generate input-output data records that permit unravelling complex system behavior, enhancing signal processing, modeling, and simulation background, and testing controller designs. All topics are presented in a visually rich and mathematically well supported, but not analytically overburdened format. By incorporating software testbed into homework and project assignments, the narrative guides a reader in an easily followed step-by-step fashion towards finding the mold oscillator disturbance removal solution currently used in the actual steel production, while covering the key signal processing, control, system integration, and machine learning concepts. The presentation is extensively class-tested and refined though the six-year usage of the book material in a required engineering course at the University of Illinois at Urbana-Champaign.
650 _aMachine learning
650 _aSignal processing
650 _aDigital techniques
650 _aAutomatic control
650 _aEngineering instruments
650 _aActuator saturation
650 _aBIBO stable
650 _aBessel filter
650 _a Cauer (Elliptic) filter
650 _aDigital analog converter
650 _aDelta-sigma modulation
650 _aHarmonic frequency
650 _aImpulse reponse
650 _a Magnitude density
650 _aParseval's theorem
650 _aPeriodic autocorrelation
650 _aPulse code modulation
650 _aSpectral leakage
650 _aTustin's rule
650 _aVoltage divider
650 _aWiener processs
650 _a Spectral analysis
650 _aSensors
650 _aMatlab programs
942 _2ddc
_cBK