Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes

© 2022 by the authors; CC BY-NC-ND license

process control; separation; oil and gas; control chart; fuzzy logic; neutrosophic statistic; incomplete data; belief statistic; gamma distribution; microalgae; raceway; control problem; PID; event-based; flexible flow shop scheduling; multi-queue limited buffers; improved compact genetic algorithm; probability density function of the Gaussian distribution; transfer bees optimizer; reinforcement learning; behavior transfer; state-action chains; reactive power optimization; Holmquist–Johnson–Cook constitutive model of briquette; parameter acquisition; split Hopkinson pressure bar experiment; numerical simulation; pressure swing distillation; full-heat integration; acetonitrile; water; distributed model predictive control; steam power plant; steam/water loop; multi-input and multi-output system; loop design; optimal nonlinear adaptive control; memetic salp swarm algorithm; voltage source converter; perturbation observer; hardware experiment; MIMO temperature control in heating process system; pole-zero cancelation; temperature difference; transient response; dead time; slow-mode-based control; multi-input multi-output (MIMO) temperature system; transient response; temperature differences; non-pillar; gob-side entry retaining by roof cutting; close distance coal seams; goaf; stress distribution; semiconductor bonding equipment-grouping method; graph theory; association matrix; CFSFDP algorithm; self-learning; transient response; variable geometry turbocharger; deep reinforcement learning; deep deterministic policy gradient; flexible flow shop; limited buffer; public buffer; Hopfield neural network; local scheduling; simulated annealing algorithm; load identification; EWT; multiscale fuzzy entropy; PNN; Hybrid Attack Graph; Level-of-Resilience; stability; topology; distributed generation (DG); INSGA-II; multi-objective optimization; potential crowding distance; static and dynamic planning; data-driven methods; reinforcement learning; coarse model; refrigeration; tunnel boring machine; roadway supporting; constitutive model; failure criterion; numerical simulation; in-situ monitoring; power systems; complex network theory; Fast–Newman algorithm; link-addition strategy; cascading failures; flotation process; reagent dosage; time series froth image; cumulative distribution function; fault diagnosis; fault classification; fast Fourier transform (FFT); multi-linear principal component analysis (MPCA); uncorrelated multi-linear principal component analysis (UMPCA); additive white Gaussian noises (AWGN); wind turbine systems; deviation control; drilling machine; nonlinear adaptive backstepping controller disturbance observer; parameter uncertainties; wind turbine; energy conversion systems; condition monitoring; fault diagnosis; fault prognosis; resilient control; n/a