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Control of nonlinear dynamical systems modeled by recurrent neural networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/aic.690330408openalex-snapshot
Nonlinear state feedback synthesis by global input/output linearization
inferredcites →https://doi.org/10.1002/aic.690350406openalex-snapshot
A hybrid approach to nonlinear system stability and performance
inferredcites →https://doi.org/10.1002/aic.690360211openalex-snapshot
Synthesis of multivariable nonlinear controllers by input/output linearization
inferredcites →https://doi.org/10.1002/aic.690380104openalex-snapshot
Nonminimum‐phase compensation for nonlinear processes
inferredcites →https://doi.org/10.1002/aic.690391009openalex-snapshot
Dynamic process modeling with recurrent neural networks
inferredcites →https://doi.org/10.1007/978-1-4757-2101-0openalex-snapshot
Nonlinear Dynamical Control Systems
inferredcites →https://doi.org/10.1007/bf02478259openalex-snapshot
A logical calculus of the ideas immanent in nervous activity
inferredcites →https://doi.org/10.1007/bfb0006368openalex-snapshot
Nonlinear Control Systems: An Introduction
inferredcites →https://doi.org/10.1016/0098-1354(85)87010-1openalex-snapshot
Chemical Process Control—an Introduction to Theory and Practice
inferredcites →https://doi.org/10.1016/s0167-6911(84)80046-8openalex-snapshot
On the synthesis of linear input-output responses for nonlinear systems
inferredcites →https://doi.org/10.1080/00207178708933726openalex-snapshot
Functional reproducibility of general multivariable analytic non-linear systems
inferredcites →https://doi.org/10.1080/00207178708933798openalex-snapshot
Decoupling theory of general multivariable analytic non-linear systems
inferredcites →https://doi.org/10.1109/ijcnn.1989.118724openalex-snapshot
Learning state space trajectories in recurrent neural networks
inferredcites →https://doi.org/10.1109/tac.1979.1102181openalex-snapshot
Invertibility of multivariable nonlinear control systems
inferredcites →https://doi.org/10.1162/neco.1989.1.2.263openalex-snapshot
Learning State Space Trajectories in Recurrent Neural Networks
inferredcites →https://doi.org/10.1162/neco.1989.1.2.270openalex-snapshot
A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
inferredcites →https://doi.org/10.23919/acc.1990.4791221openalex-snapshot
Stability Aspects of Exact Linearization Methods: A Hybrid Approach
inferredcites →https://doi.org/10.7551/mitpress/4926.001.0001openalex-snapshot
Neural Computing Architectures
inferredcites →https://doi.org/10.7551/mitpress/4926.003.0006openalex-snapshot
Backpropagation in non-feedforward networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Control Improvement Of A C Sugar Cane Crystallization Using An Auto-Tuning Pid Controller Based On Linearization Of A Neural Network
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Modelling Chaos with Neural Networks
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Intelligent systems in process engineering: a review
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A comparison of recurrent training algorithms for time series analysis and system identification
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Fundamental and Practical Aspects of Neural Computing
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Process Forecasting, Modeling, and Control of Time-Dependent Systems
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Machine learning for control of (bio)chemical manufacturing systems
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Artificial neural network based system identification and model predictive control of a flotation column
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Control of nonlinear chemical processes using neural models and feedback linearization
inferred← citeshttps://doi.org/10.1016/s0954-1810(98)00011-9openalex-snapshot
Review of the applications of neural networks in chemical process control — simulation and online implementation
inferred← citeshttps://doi.org/10.1016/s0959-1524(03)00027-1openalex-snapshot
Feedback linearization of discrete-time nonlinear uncertain plants via first-principles-based serial neuro-gray-box models
inferred← citeshttps://doi.org/10.1016/s0959-1524(03)00039-8openalex-snapshot
Applying neural networks to on-line updated PID controllers for nonlinear process control
inferred← citeshttps://doi.org/10.1016/s0959-1524(97)00002-4openalex-snapshot
Multivariable nonlinear control applications for a high purity distillation column using a recurrent dynamic neuron model
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Adaptive Linearizing Control with Neural-Network-Based Hybrid Models
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Applying Partial Least Squares Based Decomposition Structure to Multiloop Adaptive Proportional−Integral−Derivative Controllers in Nonlinear Processes
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Control of Scheibel Extraction Contactors Using Neural-Network-Based Control Algorithms
inferred← citeshttps://doi.org/10.1021/ie9801249openalex-snapshot
Nonlinear Dynamic Artificial Neural Network Modeling Using an Information Theory Based Experimental Design Approach
inferred← citeshttps://doi.org/10.1080/00986449508936361openalex-snapshot
RECURRENT NEURAL NETWORKS IN DECOUPLING CONTROL OF MULTIVARIABLE NONLINEAR SYSTEMS
inferred← citeshttps://doi.org/10.1080/00986449808912379openalex-snapshot
NONLINEARITY QUANTIFICATION AND ITS APPLICATION TO NONLINEAR SYSTEM IDENTIFICATION
inferred← citeshttps://doi.org/10.1109/37.581297openalex-snapshot
A systematic classification of neural-network-based control
inferred← citeshttps://doi.org/10.1109/72.809085openalex-snapshot
Nonlinear adaptive trajectory tracking using dynamic neural networks
inferred← citeshttps://doi.org/10.1109/acc.1995.529265openalex-snapshot
Adaptive critic based neural networks for control (low order system applications)
inferred← citeshttps://doi.org/10.1109/cca.1994.381234openalex-snapshot
A systematic classification of neural-network-based control
inferred← citeshttps://doi.org/10.1109/icnsc.2008.4525173openalex-snapshot
Adaptive Control of CSTR Using Feedback Linearization Based on Grey-Box Modeling
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Neural PID Control Strategy for Networked Process Control
inferred← citeshttps://doi.org/10.11591/ijai.v9.i1.pp100-108openalex-snapshot
Modelling and control of fouling in submerged membrane bioreactor using neural network internal model control
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Development of a real-time force-controlled compliant polishing tool system with online tuning neural proportional–integral–derivative controller
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Adaptive-critic-based neural networks for aircraft optimal control
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Hamiltonian based adaptive critics for missile guidance
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Design of a NARX-ANN-Based SP Controller for Control of an Irrigation Main Canal Pool
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Controle "DMC" de um processo de fermentação alcoolica continua em escala industrial
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