6 research outputs found
On preserving passivity in sampled-data linear systems
Passivity is a well know phenomenon in several engineering areas. Due to its interesting properties, it is used in several areas of control engineering. Generally, this property is lost under direct discretization. In this work a new methodology which allows to preserve continuous-time passivity is presented. This methodology is based on choosing a proper output, which preserves the passivity structure, while keeping the continuous-time energy function. Analytic formulation and numerical examples, both open and close loop, are provided in the paper
Self-Evaluation Applied Mathematics 2003-2008 University of Twente
This report contains the self-study for the research assessment of the Department of Applied Mathematics (AM) of the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) at the University of Twente (UT). The report provides the information for the Research Assessment Committee for Applied Mathematics, dealing with mathematical sciences at the three universities of technology in the Netherlands. It describes the state of affairs pertaining to the period 1 January 2003 to 31 December 2008
Stability results for constrained dynamical systems
Differential-Algebraic Equations (DAE) provide an appropriate framework to model and
analyse dynamic systems with constraints. This framework facilitates modelling of the
system behaviour through natural physical variables of the system, while preserving the
topological constraints of the system. The main purpose of this dissertation is to investigate
stability properties of two important classes of DAEs. We consider some special cases of
Linear Time Invariant (LTI) DAEs with control inputs and outputs, and also a special class of
Linear switched DAEs. In the first part of the thesis, we consider LTI systems, where we focus
on two properties: passivity and a generalization of passivity and small gain theorems called
mixed property. These properties play an important role in the control design of large-scale
interconnected systems. An important bottleneck for a design based on the aforementioned
properties is their verification. Hence we intend to develop easily verifiable conditions to
check passivity and mixedness of Single Input Single Output (SISO) and Multiple Input
Multiple Output (MIMO) DAEs. For linear switched DAEs, we focus on the Lyapunov stability
and this problem forms the basis for the second part of the thesis. In this part, we try
to find conditions under which there exists a common Lyapunov function for all modes
of the switched system, thus guaranteeing exponential stability of the switched system.
These results are primarily developed for continuous-time systems. However, simulation and
control design of a dynamic system requires a discrete-time representation of the system
that we are interested in. Thus, it is critical to establish whether discrete-time systems,
inherit fundamental properties of the continuous-time systems from which they are derived.
Hence, the third part of our thesis is dedicated to the problems of preserving passivity,
mixedness and Lyapunov stability under discretization. In this part, we examine several
existing discretization methods and find conditions under which they preserve the stability
properties discussed in the thesis
Stability results for constrained dynamical systems
Differential-Algebraic Equations (DAE) provide an appropriate framework to model and
analyse dynamic systems with constraints. This framework facilitates modelling of the
system behaviour through natural physical variables of the system, while preserving the
topological constraints of the system. The main purpose of this dissertation is to investigate
stability properties of two important classes of DAEs. We consider some special cases of
Linear Time Invariant (LTI) DAEs with control inputs and outputs, and also a special class of
Linear switched DAEs. In the first part of the thesis, we consider LTI systems, where we focus
on two properties: passivity and a generalization of passivity and small gain theorems called
mixed property. These properties play an important role in the control design of large-scale
interconnected systems. An important bottleneck for a design based on the aforementioned
properties is their verification. Hence we intend to develop easily verifiable conditions to
check passivity and mixedness of Single Input Single Output (SISO) and Multiple Input
Multiple Output (MIMO) DAEs. For linear switched DAEs, we focus on the Lyapunov stability
and this problem forms the basis for the second part of the thesis. In this part, we try
to find conditions under which there exists a common Lyapunov function for all modes
of the switched system, thus guaranteeing exponential stability of the switched system.
These results are primarily developed for continuous-time systems. However, simulation and
control design of a dynamic system requires a discrete-time representation of the system
that we are interested in. Thus, it is critical to establish whether discrete-time systems,
inherit fundamental properties of the continuous-time systems from which they are derived.
Hence, the third part of our thesis is dedicated to the problems of preserving passivity,
mixedness and Lyapunov stability under discretization. In this part, we examine several
existing discretization methods and find conditions under which they preserve the stability
properties discussed in the thesis
A novel theory for sampled data system passivity
This paper presents a novel approach to the interconnection of a continuous time and a discrete time physical system. This is done in a way which preserves the passivity of the coupled system independently of the sampling time. A direct application in the field of haptic displays, where a virtual environment should feel like equivalent physical systems, is presented