Local observability and controllability of nonlinear discrete-time fractional order systems based on their linearisation
DOI10.1080/00207721.2016.1216197zbMath1358.93044OpenAlexW2518170978MaRDI QIDQ2974227
Dorota Mozyrska, Małgorzata Wyrwas, Ewa Pawłuszewicz
Publication date: 6 April 2017
Published in: International Journal of Systems Science (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207721.2016.1216197
observabilitycontrollabilitylinear approximationnonlinear systems with difference fractional order operators
Controllability (93B05) Nonlinear systems in control theory (93C10) Discrete-time control/observation systems (93C55) Linearizations (93B18) Observability (93B07)
Related Items (13)
Cites Work
- Unnamed Item
- Unnamed Item
- Selected problems of fractional systems theory.
- Existence results for nonlinear fractional difference equation
- Necessary optimality conditions for fractional difference problems of the calculus of variations
- On Riemann and Caputo fractional differences
- Reachability and controllability of fractional singular dynamical systems with control delay
- Comparison and validation of integer and fractional order ultracapacitor models
- Some mapping theorems
- Theh-Difference Approach to Controllability and Observability of Fractional Linear Systems with Caputo-Type Operator
- Comparison of h-Difference Fractional Operators
- Fractional h-difference equations arising from the calculus of variations
- Exponential stability of discrete-time recurrent neural networks with time-varying delays in the leakage terms and linear fractional uncertainties
- Necessary and Sufficient Conditions for Consensus of Delayed Fractional-order Systems
- Initial value problems in discrete fractional calculus
- Nonlinear controllability and observability
- Controllability ofh-difference linear control systems with two fractional orders
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