Inverse Reinforcement Learning: A Control Lyapunov Approach [PDF]
This work has been accepted for presentation at, and publication in the proceedings of, the 2021 IEEE Conference on Decision and Control (CDC)
Samuel Tesfazgi +2 more
openalex +4 more sources
Lyapunov-based neural network model predictive control using metaheuristic optimization approach [PDF]
This research introduces a new technique to control constrained nonlinear systems, named Lyapunov-based neural network model predictive control using a metaheuristic optimization approach.
Chafea Stiti +6 more
doaj +2 more sources
A Lyapunov Optimization-Based Approach to Autonomous Vehicle Local Path Planning [PDF]
Autonomous vehicles (AVs) offer significant potential to improve safety, reduce emissions, and increase comfort, drawing substantial attention from both research and industry.
Ziba Arjmandzadeh +4 more
doaj +2 more sources
Kernel Machine to Estimate a Lyapunov Function and Region of Attraction (ROA) for Nonlinear Systems
The Lyapunov theory establishes the fundamental details to determine the stability and the Lyapunov function associated with an equilibrium point of a nonlinear system.
Afroza Shirin +2 more
doaj +1 more source
The existence of a Lyapunov function is known to ensure either local or global stability of a system’s equilibrium state. Inspired by the control-Lyapunov method, we here construct a Lyapunov candidate function by analyzing a pendulum system’s total ...
Martinius Knudsen +3 more
doaj +1 more source
Chronotopic Lyapunov analysis: II. Toward a unified approach [PDF]
From the analyticity properties of the equation governing infinitesimal perturbations, it is shown that all stability properties of spatially extended 1D systems can be derived from a single function that we call entropy potential since it gives directly the Kolmogorov-Sinai entropy density.
Lepri, Stefano +2 more
openaire +2 more sources
Lyapunov Exponent Enhancement in Chaotic Maps with Uniform Distribution Modulo One Transformation
Most of the chaotic maps are not suitable for chaos-based cryptosystems due to their narrow chaotic parameter range and lacking of strong unpredictability.
Günyaz Ablay
doaj +1 more source
Geometric approach to Lyapunov analysis in Hamiltonian dynamics [PDF]
As is widely recognized in Lyapunov analysis, linearized Hamilton's equations of motion have two marginal directions for which the Lyapunov exponents vanish. Those directions are the tangent one to a Hamiltonian flow and the gradient one of the Hamiltonian function.
Yamaguchi, Yoshiyuki Y., Iwai, Toshihiro
openaire +3 more sources
Stabilization of Nonlinear Control-Affine Systems With Multiple State Constraints
This paper considers the synthesis of stabilizing controllers for nonlinear control-affine systems under multiple state constraints. A new control Lyapunov-barrier function approach is introduced for solving the considered problem.
Jia-Yao Jhang +2 more
doaj +1 more source
Lyapunov matrices approach to the parametric optimization of a neutral system
In the paper a Lyapunov matrices approach to the parametric optimization problem of a neutral system with a P-controller is presented. The value of integral quadratic performance index of quality is equal to the value of Lyapunov functional for the ...
Duda Jozef
doaj +1 more source

