A 
Accelerated firstorder algorithms 
Accelerated optimization algorithms 
Acoustics 

Actuator selection 
Adjoint equations 
Adjoints 

Alternating direction method of multipliers 
Alternating minimization algorithm 
Architectural constraints 

Architectural issues in distributed control design 
Atomic force microscopy 
Augmented Lagrangian 
B 
Baseflow sensitivity 
Biochemical networks 
Boundary layer flow 

Boundary layer receptivity 
Boundary layers 
Byzantine mirror descent 

Byzantine primaldual optimization 


C 
Cardinality minimization 
ChowLiu tree 
Colored noise 

Combination drug therapy 
Compressible flows 
Compression ramp flow 

Computational tools for spatially distributed systems 
Consensus 
Consensus and synchronization networks 

Consensus networks 
Constrained Markov decision processes 
Constrained nonconvex optimization 

Constrained optimization 
Control 
Control for optimization 

Control of electrohydraulic servosystems 
Control of turbulent flows 
Control of vehicular formations 

Controloriented modeling 
Controller architecture 
Controlling the onset of turbulence 

Convergence rate 
Convex optimization 
Coordinate descent algorithm 

Covariance completion 
COVID19 prediction 
Cyclic feedback systems 
D 
Datadriven control 
Datadriven feedback design 
Decentralized control 

Delayed covariance 
Descriptor systems 
Diffusively coupled systems 

Direct numerical simulations 
Directed networks 
Discounted online Newton method 

Distributed control 
Distributed optimization 
Distributed PIcontrol 

Distributed resource allocation 
Distributed systems 
Distributed systems theory 

Distributed temporaldifference learning 
Disturbance dynamics 
Doublewedge flow 

DouglasRachford splitting 
Drag reduction 
Dual averaging 

Dynamic Mode Decomposition 


E 
Economic dispatch 
Elastic turbulence 
Energy amplification 

Energy networks 
Euler discretization 
Exponential convergence 
F 
Floquet theory 
Flow modeling and control 
Forwardbackward envelope 

Freestream turbulence 
Function approximation 
Fundamental limitations 
G 
Gameagnostic convergence 
Global asymptotic stability 
Global exponential stability 

Global stability analysis 
Gradient descent 
Gradient flow dynamics 

Graphical LASSO 
Greedy algorithm 

H 
Htype transition 
Heavyball method 
Hypersonic flows 
I 
Incompressible fluids 
Independent reinforcement learning 
Inputoutput analysis 

Integral quadratic constraints 
Interarea oscillations 
Interconnected systems 

Interior point method 


J 
Jet noise 


K 
$k$supportnorm 


L 
Lagrangian 
Laminar streaks 
Largescale and infinite dimensional systems 

Largescale networks 
Largescale systems 
Leader selection 

Leastsquares approximation 
Linear matrix inequalities 
Linear quadratic regulator 

Localized control 
Lowcomplexity modeling 
Lowrank approximation 

Lowrank perturbation 
Lyapunovbased analysis 
Lyapunovbased approach 

Lyapunov functions 


M 
Markov potential games 
Matrix approximation 
Matrix completion problem 

Matrix completion problems 
Maximum likelihood 
Method of multipliers 

Mirror descent 
Modelfree control 
Monotone systems 

Multiagent reinforcement learning 
Multiagent systems 

N 
Natural policy gradient 
NavierStokes equations 
Nesterov's accelerated method 

Networks 
Networks of dynamical systems 
Noise amplification 

Nonconvex optimization 
Nonsmooth optimization 
Nonconvex optimization 

Nonnormal dynamics 
Nuclear norm regularization 

O 
Oblique waves 
Online learning 
Online mirror descent 

Operator splitting 
Optimal control 
Optimal decentralized control 

Optimal localized control 
Optimization 
Oscillator networks 
P 
Parabolized Floquet equations 
Parabolized stability equations 
Parametric resonance 

Peaking 
Performance bounds 
Performance of largescale networks 

Performance vs. complexity 
Periodic systems 
Perturbation analysis 

Policy gradient methods 
PolyakLojasiewicz inequality 
Positive systems 

Power Networks 
Power systems 
Primaldual algorithms 

Primaldual gradient flow dynamics 
Primaldual method 
Primaldual methods 

Proximal algorithms 
Proximal augmented Lagrangian 
Proximal augmented Lagrangian method 

Proximal gradient method 
Proximal methods 
Proximal Newton method 

Proximal policy optimization 


Q 
QuasiNewton methods 


R 
Random search method 
Reactiondiffusion equations 
Reattachment vortices 

Regularization 
Regularization for design 
Reinforcement learning 

Relaminarization 
Riblets 
Robust Control 

Robust statistical learning 
Robustness 
Roughness elements 
S 
Safe exploration 
Safe reinforcement learning 
Sample complexity 

Secondorder moments 
Second order primaldual method 
Semidefinite programming 

Sensorfree flow control 
Sensor selection 
Shock boundary layer interaction 

Simulationfree design 
Singular perturbation methods 
Soccer 

Social influence 
Social networks 
Spanwise wall oscillations 

Sparse controller synthesis 
Sparse graphs 
Sparse inverse covariance estimation 

Sparsity 
Sparsitypromoting estimation and control 
Sparsitypromoting optimal control 

Spatiallyevolving flows 
Spatiallyinvariant systems 
Spatiallyperiodic systems 

Spatiotemporal frequency responses 
Spatiotemporal impulse responses 
Spectral integration method 

Sponge layer 
Stability of nonlinear systems 
Stochastic matrices 

Stochastic optimization 
Stochasticallyforced NavierStokes equations 
Streamwise traveling waves 

Structure identification 
Structured covariances 
Structured design 

Structured feedback gains 
Structured optimal control 
Symmetric systems 

Synchronization 


T 
The Name of the Game: Football! 
Timeperiodic systems 
Timevarying time series prediction 

Topology design 
Topology identification 
Transient growth 

Transient response 
Transition to turbulence 
Traveling waves 

Turbulence modeling 
Turbulent flows 
Twostep momentum algorithm 
U 
Uncertainty quantification in PDEs 


V 
Variance amplifications 
Vibrational control 
Viscoelastic fluids 

Viscoelastic instabilities 


W 
Weakly nonlinear analysis 
Weakly nonlinear oscillators 
Widearea control 

Worstcase amplification 

