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Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes
| Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes |
| Autore | Gao Zhiwei |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (514 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
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 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 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 coarse model refrigeration tunnel boring machine roadway supporting constitutive model failure criterion 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 prognosis resilient control |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557338303321 |
Gao Zhiwei
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Stability Analysis of Neural Networks / Grienggrai Rajchakit, Praveen Agarwal, Sriraman Ramalingam
| Stability Analysis of Neural Networks / Grienggrai Rajchakit, Praveen Agarwal, Sriraman Ramalingam |
| Autore | Rajchakit, Grienggrai |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xxvi, 404 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Agarwal, Praveen
Ramalingam, Sriraman |
| Soggetto topico |
93-XX - Systems theory; control [MSC 2020]
93D05 - Lyapunov and other classical stabilities (Lagrange, Poisson, $L^p, l^p$, etc.) [MSC 2020] 93B70 - Networked control [MSC 2020] 93C43 - Delay control/observation systems [MSC 2020] |
| Soggetto non controllato |
Asymptotic stability
Bidirectional associative memory Cellular neural network Cohen-Grossberg neural network Exponential stability Gene regulatory network Hopfield neural network Lyapunov-Krasovskii functional Markovian jumping Neural networks Robust stability Stability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275520 |
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Rajchakit, Grienggrai
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Stability Analysis of Neural Networks / Grienggrai Rajchakit, Praveen Agarwal, Sriraman Ramalingam
| Stability Analysis of Neural Networks / Grienggrai Rajchakit, Praveen Agarwal, Sriraman Ramalingam |
| Autore | Rajchakit, Grienggrai |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xxvi, 404 p. : ill. ; 24 cm |
| Altri autori (Persone) |
Agarwal, Praveen
Ramalingam, Sriraman |
| Soggetto topico |
93-XX - Systems theory; control [MSC 2020]
93B70 - Networked control [MSC 2020] 93C43 - Delay control/observation systems [MSC 2020] 93D05 - Lyapunov and other classical stabilities (Lagrange, Poisson, $L^p, l^p$, etc.) [MSC 2020] |
| Soggetto non controllato |
Asymptotic stability
Bidirectional associative memory Cellular neural network Cohen-Grossberg neural network Exponential stability Gene regulatory network Hopfield neural network Lyapunov-Krasovskii functional Markovian jumping Neural networks Robust stability Stability |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275520 |
|
Rajchakit, Grienggrai
|
||
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||