Deadbeat Robust Model Predictive Control: Robustness Without Computing Robust Invariant Sets
ABSTRACT Deadbeat Robust Model Predictive Control (DRMPC) is introduced as a new approach of Robust Model Predictive Control (RMPC) for linear systems with additive disturbances. Its main idea is to completely extinguish the effect of the disturbances in the predictions within a small number of time steps, called the deadbeat horizon.
Georg Schildbach
wiley +1 more source
Metastability, Lyapunov exponents, escape rates, and topological entropy in random dynamical systems [PDF]
Gary Froyland, Ognjen Stancevic
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Distinguishing Epileptiform Discharges From Normal Electroencephalograms Using Scale-Dependent Lyapunov Exponent. [PDF]
Li Q, Gao J, Huang Q, Wu Y, Xu B.
europepmc +1 more source
Stochastic stability of Lyapunov exponents and Oseledets splittings for semi-invertible matrix cocycles [PDF]
Gary Froyland +2 more
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Convex computation of maximal Lyapunov exponents [PDF]
Hans Oeri, David Goluskin
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Bound on Lyapunov exponent in Kerr-Newman-de Sitter black holes by a charged particle
We investigate the bound on the Lyapunov exponents by a charged particle in Kerr-Newman-de Sitter black holes using analytic and numerical methods. We determine whether the Lyapunov exponent can exceed the bound by an electrically charged particle with ...
Junsu Park, Bogeun Gwak
doaj +1 more source
Effect of data length on time delay and embedding dimension for calculating the Lyapunov exponent in walking. [PDF]
Hussain VS, Spano ML, Lockhart TE.
europepmc +1 more source
The Instability Transition for the Restricted 3-Body Problem. III. The Lyapunov Exponent Criterion
Billy Quarles +3 more
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Generalized Lyapunov exponents and aspects of the theory of deep learning [PDF]
Anders Karlsson
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