Observer-based boundary control of distributed port-Hamiltonian systems

Energy-Based Control of Spatially-Discretized Distributed Port-Hamiltonian Systems

The main contribution of this paper is a procedure for the control by energy shaping of high-order port-Hamiltonian systems obtained from the spatial discretization of infinite dimensional dynamics. Beside the intrinsic difficulties related to the large number of state variables, the finite element model is generally given in terms of a Dirac structure and is completely a-causal, which implies ...

Distributed-Parameter Port-Hamiltonian Systems

Optimality of Passivity-Based Controls for Distributed Port-Hamiltonian Systems

This paper discusses the (inverse) optimality and practical usage of passivitybased controls for distributed port-Hamiltonian systems. We first clarify that passivity-based controls, damping assignment and potential shaping can be derived from a linear quadratic type optimal control problem. Next, we describe the limitation of passivity-based boundary controls and propose a practical usage of t...

Tracking Control for Port-Hamiltonian Systems Using Feedforward and Feedback Control and a State Observer

This contribution is about the combination of a feedforward and a feedback controller and a reduced state observer in order to stabilize the trajectories of a nonlinear plant. Port-Hamiltonian systems provide some special mathematical properties and have turned out beneficial for the stability analysis of nonlinear control systems. The combination of a feedforward and feedback controller allows...

Passivity based control of irreversible port Hamiltonian Systems

The frameworks of thermodynamic availability function and irreversible port Hamiltonian systems are used to derive passivity based control strategies for irreversible thermodynamic systems. An energy based availability function is defined using as generating function the internal energy. This is a variation with respect to previous works where the total entropy usually corresponds to the genera...