
PYTHON-CONTROL . READTHEDOCS . IO {
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3. Linear System Modeling, Analysis, and Design β Python Control Systems Library 0.10.2 documentation
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Keywords {π}
system, systems, function, state, functions, response, time, frequency, transfer, space, lti, linear, sys, states, inputs, data, norm, feedback, outputs, gain, form, omega, output, array, properties, compute, frd, inputoutput, matrix, discretetime, discrete, domain, model, input, eigenvalues, design, frequencies, signal, created, factory, create, signals, return, names, sampling, order, methods, loop, analysis, class,
Topics {βοΈ}
package configuration parameters mixed-sensitivity h-infinity synthesis h-infinity control synthesis python-control package discrete-time optimal controller function reference represent state-space realizations h2 control synthesis similar input/output properties input/output gain unchanged input/output response characteristics linear input/output systems input index output index hankel singular values unspecified sampling time state space models linear quadratic estimation state space properties internal state variable reduced-order model linear time-invariant mixed sensitivity gain normed linear space transfer function representation optional time rescaling standard algebraic manipulations state space systems time domain properties frequency response data internal representations representing frequency domain properties state space system linear state estimators match realizations obtained closed loop system state space analysis main data attributes transfer function models complementary sensitivity function state space form closed loop eigenvalues initial condition response step response characteristics standard arithmetic operations standard algebraic operations single-dimensional axes loop transfer function discrete time systems continuous-time systems
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