[PDF][PDF] A globally asymptotically stable polynomial vector field with no polynomial Lyapunov function

AA Ahmadi, M Krstic, PA Parrilo - 2011 50th IEEE Conference on Decision …, 2011 - mit.edu
A Globally Asymptotically Stable Polynomial Vector Field with No Polynomial Lyapunov
Function Page 1 A Globally Asymptotically Stable Polynomial Vector Field with no Polynomial …

Design of Lyapunov functions for a class of homogeneous systems: Generalized forms approach

T Sanchez, JA Moreno - International Journal of Robust and …, 2019 - Wiley Online Library
In this paper, we provide a method to design Lyapunov functions (LFs) for a class of
homogeneous systems described by functions that we call generalized forms (GFs) …

Learning‐based robust neuro‐control: A method to compute control Lyapunov functions

RCB Rego, FMU de Araújo - International Journal of Robust …, 2022 - Wiley Online Library
Nonlinear dynamical systems play a crucial role in control systems because, in practice, all
the plants are nonlinear, and they are also a hopeful description of complex robot …

An SOS method for the design of continuous and discontinuous differentiators

T Sanchez, E Cruz-Zavala… - International Journal of …, 2018 - Taylor & Francis
Given a (differentiable) signal, it is an important task for many applications to estimate on
line its derivatives. Some well-known algorithms to solve this problem include the …

Robust nonlinear stability and performance analysis of an F/A‐18 aircraft model using sum of squares programming

J Anderson, A Papachristodoulou - International Journal of …, 2013 - Wiley Online Library
In this paper, we develop algorithms for the computational analysis of stability and robust
performance properties of nonlinear models governed by polynomial differential equations …

Stability of controllers for Gaussian process dynamics

J Vinogradska, B Bischoff, D Nguyen-Tuong… - Journal of Machine …, 2017 - jmlr.org
Learning control has become an appealing alternative to the derivation of control laws
based on classic control theory. However, a major shortcoming of learning control is the lack …

[PDF][PDF] Algebraic relaxations and hardness results in polynomial optimization and Lyapunov analysis

AA Ahmadi - arXiv preprint arXiv:1201.2892, 2012 - arxiv.org
arXiv:1201.2892v1 [math.OC] 13 Jan 2012 Page 1 Algebraic Relaxations and Hardness
Results in Polynomial Optimization and Lyapunov Analysis by Amir Ali Ahmadi BS …

Sum of squares certificates for stability of planar, homogeneous, and switched systems

AA Ahmadi, PA Parrilo - IEEE Transactions on Automatic …, 2017 - ieeexplore.ieee.org
We show that existence of a global polynomial Lyapunov function for a homogeneous
polynomial vector field or a planar polynomial vector field (under a mild condition) implies …

NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints

F Zhu, D Jing, F Leve, S Ferrari - Frontiers in Robotics and AI, 2022 - frontiersin.org
Recent advances in deep learning have bolstered our ability to forecast the evolution of
dynamical systems, but common neural networks do not adhere to physical laws, critical …

On algebraic proofs of stability for homogeneous vector fields

AA Ahmadi, B El Khadir - IEEE Transactions on Automatic …, 2019 - ieeexplore.ieee.org
We prove that if a homogeneous, continuously differentiable vector field is asymptotically
stable, then it admits a Lyapunov function, which is the ratio of two polynomials (ie, a rational …