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Palabras clave – provistas por la editorial

Internal Model Control (IMC); U-model; U-model-based control (U-control); Two-Degree-of-Freedom IMC (TDF-IMC); dynamic inversion; invariance entropy; automatic control; mutual information; static detection; Chi-square test; permission; FlowDroid; series causality analysis; Bayesian LSTM; multi-sensor system; meteorological data; big measurement data; deep fusion predictor; cobalt removal process; mechanistic kinetic model; parameter estimation; constrained parameter estimation; data reconciliation; robust estimator; gross error detection; feeding composition; fault diagnosis; sensor fault; actuator fault; deep convolutional neural network; robot joints; railway accident prevention; critical hazard identification; accident causality network; integer programming; active diagnosis; active reconfiguration; constrained systems; fault tolerance; interpolation control; linear programming; structured control; flexible spacecraft; prevent oscillations; adaptive fixed-time control; neural network control; strict-feedback high-order nonlinear systems; cluster-delay mean square consensus; multi-agent systems; stochastic disturbances; impulse time windows; impulsive control; multiplicative adaptation; gain adjustment; spectral damping; robust stability; local unknown input; interconnected system; local reconstrucability; global reconstrucability; reduce-order uncertain observer; chaos theory; bifurcation; stabilization; chaos synchronization; robust control; rolling bearing fault; CEEMDAN; DFA; improved wavelet threshold; QPSO; MPE; SVM; adaptive fixed-time; neural network; nonlinear interconnected systems; X-ray pulsar; signal denoising; variational mode decomposition; MIMO; coupling; PSO; CDM; measurement noise; robust controller; n/a