The analysis and state-feedback synthesis problems for linear parameter-varying systems with parameter-varying time delays are addressed. It is assumed that the state-space data and the time delays are dependent on parameters that are measurable in real-time and vary in a compact set with bounded variation rates. We explore the stability, L2 gain performance and L2-to-L1 gain performance for th...

This paper presents a numerically attractive approach to design reduced-order multi-objective H2/H∞ controllers for discrete-time linear parameter-varying (LPV) systems. The proposed controller synthesis approach relies on an a priori computed polynomially parameter-dependent fullorder LPV controller that stabilizes the LPV system for all possible parameter trajectories. This full-order control...

In this paper, we address the analysis and state-feedback synthesis problems for linear parameter-varying (LPV) systems with parameter-varying time delays. It is assumed that the state-space data and the time delays are dependent on parameters that are measurable in real-time and vary in a compact set with bounded variation rates. We explore the stability and the induced L 2 norm performance of...

An innovative user interface for an audio plugin is presented. The system features an interactive genetic algorithm, for user exploration of granular synthesis parameter settings. The interface design is motivated to allow the user to intuitively and efficiently audition and evaluate parameter sets. This is particularly important with granular delay effects, since many parameter combinations wi...

This paper presents synthesis conditions for the design of gain-scheduled dynamic output feedback controllers for discrete-time linear parameter-varying systems. The state-space matrix representation of the plant and of the controller can have a homogeneous polynomial dependency of arbitrary degree on the scheduling parameter. As an immediate extension, conditions for the synthesis of a multiob...

Multidimensional signal modeling of musical notes can produce expressive and realistic synthesis for musical applications. The PRISM synthesis technology employs time-varying signal models using envelopes for pitch, power, and timbre evolution. PRISM also models the statistical variations of parameters over time in order to produce indefinitely long, non-looped sustains while maintaining the ch...