Data-driven inversion-based control of nonlinear systems
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Summary
The Data-Driven Inversion-Based Control method for nonlinear control system design relies on a two degree-of-freedom architecture, with a nonlinear controller and a linear controller running in parallel, and does not require any detailed physical knowledge of the plant to control.
- Type
- article
- Published
- 2015-01-01
- Cited by
- 2,356
- References
- 32
- Access
- Open access
- OpenAlex
- https://openalex.org/W2191833044
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15598290
Keywords
Inversion (geology), Nonlinear system, Control theory (sociology), Benchmark (surveying), Computer science
References
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- Approximate linearization via feedback - an overview
- Backpropagation separates when perceptrons do
- Further comments on the stabilizability of the angular velocity of a rigid body
- Smooth stabilization implies coprime factorization
- A universal construction of Artstein's theorem on nonlinear stabilization
- Stable adaptive neural control scheme for nonlinear systems
- On two definitions of observation spaces
- Optimum Settings for Automatic Controllers
- Pole shifting for families of linear systems depending on at most three parameters
- Stable recovery of sparse overcomplete representations in the presence of noise
- Stabilizability, I/O stability and coprime factorizations
- Further facts about input to state stabilization
- Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Just relax: convex programming methods for identifying sparse signals in noise
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- Global stability for cholera epidemic models.
- Adaptive flocking with a virtual leader of multiple agents governed by nonlinear dynamics
- Estimation of Nonlinear Dynamic Systems: Theory and Applications
- Identification et commande pour l'atténuation des vibrations du robot parallèle par2
- Control of a macro-micro actuated system
- Computationally reliable approaches of contractive MPC for discrete-time systems
- An investigation of adaptive fuzzy sliding mode control for robotic manipulators
- Model Following Control Strategies and Human Interface Techniques for the Treatment of Time Delay During Teleoperation
- Coordinated Path Following Control and Formation Control of Mobile Robots
- Fuzzy Logic Control System Stability Analysis Based on Lyapunov's Direct Method
- Synchronisation des systèmes chaotiques par observateurs et applications à la transmission d'informations
- Control and filtering of time-varying linear systems via parameter dependent Lyapunov functions
- Power-Electronics-Enabled Transient Stabilization of Power Systems
- OBSERVER DESIGN BASED IN THE MATHEMATICAL MODEL OF A WIND TURBINE
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