Part I: Control Design, Observation, and Identification
Linear Observer Synthesis for Nonlinear Systems
Linear Predictors for Nonlinear Dynamical Systems
Global Stability Analysis
Pulse-based Optimal Control
Parameter Estimation and Identification of Nonlinear Systems
Koopman Spectrum and Stability of Cascaded Dynamical Systems
Open and Closed Loop Control of PDEs via Switched Systems and Koopman operator based reduced order models
Part II: Data-Driven Analysis
Data-driven Approximations of Dynamical Systems Operators for Control
Operator Theoretic-based Data-driven Approach for Optimal Stabilization of Nonlinear System
Manifold Learning for Data-Driven Dynamical Systems Analysis
Use of Data-Driven Koopman Spectrum Computation and Delay Embedding
Part III: Applications
Modeling of Advective Heat Transfer in a Practical Building Atrium via Koopman Mode Decomposition
Phase-amplitude Reduction of Limit-cycling Systems
Exploiting Effects of Network Topology on Performance in Nonlinear Consensus Networks
Koopman Operators in Embedded Control.