<scp>Near‐optimal</scp> control of a class of <scp>output‐constrained</scp> systems using recurrent neural network: A <scp>control‐barrier</scp> function approach
DOI10.1002/oca.2995OpenAlexW4361225915MaRDI QIDQ6081035
Mohammad Farrokhi, Surena Rad-Moghadam
Publication date: 25 October 2023
Published in: Optimal Control Applications and Methods (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/oca.2995
recurrent neural networkcontrol barrier functionextended state observeroutput constraintnear-optimal control
Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) Existence theories for optimal control problems involving ordinary differential equations (49J15) Observers (93B53)
Cites Work
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- Stabilization with guaranteed safety using control Lyapunov-Barrier function
- Event-triggered robust model predictive control of continuous-time nonlinear systems
- Constrained control of input-output linearizable systems using control sharing barrier functions
- Robust control barrier functions for constrained stabilization of nonlinear systems
- Optimal control of nonlinear systems: A predictive control approach
- Output feedback tracking control of a class of continuous-time nonlinear systems via adaptive dynamic programming approach
- An optimal approach to output-feedback robust model predictive control of LPV systems with disturbances
- Tube-based robust nonlinear model predictive control
- Optimal sliding-mode control of linear systems with uncertainties and input constraints using projection neural network
- Higher-order sliding modes, differentiation and output-feedback control
- Decentralized adaptive control of nonlinear systems using radial basis neural networks
- Control Barrier Function Based Quadratic Programs for Safety Critical Systems
- Nonlinear MPC for a Sensorless Multi‐Vectored Propeller Airship Based on Sliding Mode Observer with Saturation
- Embedding Constrained Model Predictive Control in a Continuous-Time Dynamic Feedback
- Newton-Type Methods for Optimization and Variational Problems
- Safe reinforcement learning: A control barrier function optimization approach
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