Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction

DOI10.1162/neco_a_01360zbMath1469.93055arXiv1912.13154OpenAlexW3126078688MaRDI QIDQ5004318

Jean-Jacques E. Slotine, Nicholas M. Boffi

Publication date: 30 July 2021

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1912.13154

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Observers (93B53)

Related Items (1)

Speed gradient method and its applications

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• The robustness of the \(p\)-norm algorithms
• Velocity gradient algorithms in control and adaptation problems
• Dynamic scaling and observer design with application to adaptive control
• Adaptive control of continuous time systems with convex/concave parametrization
• Speed-gradient scheme and its application in adaptive control problems
• On contraction analysis for non-linear systems
• Adaptation algorithms in finite form for nonlinear dynamic objects
• Mirror descent and nonlinear projected subgradient methods for convex optimization.
• Parameter estimation of nonlinearly parameterized regressions without overparameterization: application to adaptive control
• A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
• Struktur der Materie
• Adaptive sliding controller synthesis for non-linear systems
• Acceleration of Stochastic Approximation by Averaging
• Modular stability tools for distributed computation and control
• Adaptation in the presence of a general nonlinear parameterization: an error model approach
• A variational perspective on accelerated methods in optimization
• Immersion and Invariance Adaptive Control of Nonlinearly Parameterized Nonlinear Systems $ $
• Benign overfitting in linear regression
• A Continuous-Time Analysis of Distributed Stochastic Gradient
• Observability of complex systems
• Data-driven discovery of coordinates and governing equations
• Reconciling modern machine-learning practice and the classical bias–variance trade-off
• Immersion and invariance: a new tool for stabilization and adaptive control of nonlinear systems
• Adaptation and Parameter Estimation in Systems With Unstable Target Dynamics and Nonlinear Parametrization
• Some methods of speeding up the convergence of iteration methods
• Generalized Momentum-Based Methods: A Hamiltonian Perspective
• Conformal symplectic and relativistic optimization
• Adaptive control of nonlinearly parameterized systems with a triangular structure

This page was built for publication: Implicit Regularization and Momentum Algorithms in Nonlinearly Parameterized Adaptive Control and Prediction