Key research themes
1. What are the verifiable conditions to guarantee shifted passivity and stability of port-Hamiltonian systems with state-dependent structures and how do these conditions facilitate controller design?
This research area investigates the shifted passivity property of port-Hamiltonian (pH) systems, especially when their Hamiltonian, interconnection, and dissipation matrices depend on the state. Shifted passivity considers passivity with respect to nonzero steady-state input-output values, which is crucial for stability analysis and control design in practical applications where equilibria are not at the origin. The main focus is to establish easily checkable conditions ensuring shifted passivity, leading to stability guarantees and guiding output feedback controller design.
2. How can port-Hamiltonian frameworks be extended to model and stabilize complex hybrid, distributed-parameter, and irreversible thermodynamic systems with uncertain or stochastic components?
This theme covers extensions of port-Hamiltonian systems to infinite-dimensional settings including mixed ODE-PDE systems with boundary control, irreversible thermodynamics through irreversible port-Hamiltonian systems (IPHS), and stochastic port-Hamiltonian systems (SPHS). It addresses the challenges in modeling energy-dissipative and nonequilibrium phenomena while preserving passivity and stability properties. Methodologies involve well-posedness conditions, Lyapunov and passivity analyses, and observer and controller designs that respect the physically meaningful port-Hamiltonian structure under uncertainty and irreversibility.
3. How can port-Hamiltonian structures be leveraged for advanced nonlinear and robust control design in physical and engineering systems with unstructured dynamics or complex interconnections?
This research theme focuses on control synthesis methods exploiting the port-Hamiltonian framework for nonlinear systems that present challenges such as unstructured components, multiple interacting energy domains, or complex interconnections (e.g., robotic systems, physical processes). It includes the design of energy-shaping, passivity-based, and interconnection-and-damping assignment controllers, as well as improvements that avoid solving difficult PDEs or rely on geometric and Lyapunov-based methods to guarantee stability and performance under uncertainties.