Skip to main navigation
Skip to search
Skip to main content
TU Delft Research Portal Home
Help & FAQ
Home
Research units
Researchers
Research output
Datasets
Projects
Equipment
Press/Media
Prizes
Activities
Search by expertise, name or affiliation
Online learning algorithms: For passivity-based and distributed control
Subramanya Nageshrao
Research output
:
Thesis
›
Dissertation (TU Delft)
100
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Online learning algorithms: For passivity-based and distributed control'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Control Law
100%
Online Learning Algorithm
100%
Passivity-based Control
100%
Port-Hamiltonian
66%
Hamiltonian Form
66%
Physical Meaning
33%
Model-free Methods
33%
Regulator Equations
33%
Priori Model
33%
Information Parameters
33%
Bridge Model
33%
Numerical Evaluation
33%
State Model
33%
Monotonic Convergence
33%
System Knowledge
33%
Miniaturization Design
33%
Parameter Uncertainty
33%
Agent-based Control
33%
Full State
33%
Intrinsic Attributes
33%
Nonlinear Control
33%
Integral Reinforcement Learning
33%
Performance Enhancement
33%
Information Model
33%
Optimal Output Tracking
33%
Tracking Control Problem
33%
Actor-critic Learning
33%
Reinforcement Learning Approach
33%
Convergence Proof
33%
Nonlinear Methods
33%
Learning Methods
33%
Nonlinear Control Strategy
33%
Online Learning
33%
System Information
33%
Stochastic Approximation
33%
Model-based Method
33%
Learning Curve
33%
Heterogeneous Linear multi-agent System
33%
State Parameter
33%
Precision Performance
33%
Complex Design
33%
Approximation Theory
33%
INIS
control
100%
passivity
100%
learning
100%
algorithms
100%
nonlinear problems
25%
increasing
16%
design
16%
dynamics
16%
convergence
16%
demand
16%
information
16%
hamiltonians
16%
output
16%
ports
16%
performance
16%
stabilization
8%
miniaturization
8%
precision
8%
regulations
8%
curves
8%
simulation
8%
feedback
8%
bridges
8%
evaluation
8%
variations
8%
interactions
8%
animals
8%
speed
8%
partial differential equations
8%
approximations
8%
analytical solution
8%
equations
8%
vectors
8%
information systems
8%
humans
8%
solutions
8%
stochastic processes
8%
Chemical Engineering
Reinforcement Learning
100%
Multi Agent Systems
25%
Mathematics
Hamiltonian Form
40%
Physical Meaning
20%
Control Objective
20%
Interpretability
20%
Performance Measure
20%
Engineering
Hamiltonian Form
50%
Computer Science
Parameter Uncertainty
25%
Regulator
25%