Contraction theory for nonlinear stability analysis and learning-based control: A tutorial overview
Contraction theory is an analytical tool to study differential dynamics of a non-autonomous
(ie, time-varying) nonlinear system under a contraction metric defined with a uniformly …
(ie, time-varying) nonlinear system under a contraction metric defined with a uniformly …
Systematic and effective design of nonlinear feedback controllers via the state-dependent Riccati equation (SDRE) method
T Çimen - Annual Reviews in control, 2010 - Elsevier
Since the 1990s, state-dependent Riccati equation (SDRE) strategies have emerged as
general design methods that provide a systematic and effective means of designing …
general design methods that provide a systematic and effective means of designing …
Survey of state-dependent Riccati equation in nonlinear optimal feedback control synthesis
T Cimen - Journal of Guidance, Control, and Dynamics, 2012 - arc.aiaa.org
AEROSPACE engineering applications greatly stimulated the development of optimal
control theory during the 1950s and 1960s, where the objective was to drive the system …
control theory during the 1950s and 1960s, where the objective was to drive the system …
Probability-guaranteed distributed filtering for nonlinear systems with innovation constraints over sensor networks
In this article, the distributed filtering problem is investigated for a class of nonlinear systems.
Each individual sensing node provides the state estimate by using not only its own …
Each individual sensing node provides the state estimate by using not only its own …
[HTML][HTML] Tutorial and review on the state-dependent Riccati equation
SR Nekoo - Journal of Applied Nonlinear Dynamics, 2019 - lhscientificpublishing.com
This paper presents an extensive tutorial and a complete review on the state-dependent
Riccati equation (SDRE). The review covers contributions from the beginning to (near the …
Riccati equation (SDRE). The review covers contributions from the beginning to (near the …
Robust controller design for stochastic nonlinear systems via convex optimization
This article presents ConVex optimization-based Stochastic steady-state Tracking Error
Minimization (CV-STEM), a new state feedback control framework for a class of Itô stochastic …
Minimization (CV-STEM), a new state feedback control framework for a class of Itô stochastic …
Crowd dynamics: Modeling and control of multiagent systems
This review aims to present recent developments in modeling and control of multiagent
systems. A particular focus is set on crowd dynamics characterized by complex interactions …
systems. A particular focus is set on crowd dynamics characterized by complex interactions …
[HTML][HTML] Speed and current regulation of a permanent magnet synchronous motor via nonlinear and adaptive backstep** control
M Karabacak, HI Eskikurt - Mathematical and Computer Modelling, 2011 - Elsevier
This paper proposes a new speed and current control scheme for a Permanent Magnet
Synchronous Motor (PMSM) by means of a nonlinear and adaptive backstep** design. All …
Synchronous Motor (PMSM) by means of a nonlinear and adaptive backstep** design. All …
Dynamics and biological control of the sugarcane borer with two parasitoids
The purpose of this work is to study an interaction between the sugarcane borer and its
parasitoids (Trichogramma galloi, and Cotesia flavipes). The interaction between these …
parasitoids (Trichogramma galloi, and Cotesia flavipes). The interaction between these …
Data-driven tensor train gradient cross approximation for hamilton–jacobi–bellman equations
A gradient-enhanced functional tensor train cross approximation method for the resolution of
the Hamilton–Jacobi–Bellman (HJB) equations associated with optimal feedback control of …
the Hamilton–Jacobi–Bellman (HJB) equations associated with optimal feedback control of …