Unified LMI-based design of ΔΣmodulators

Unified LMI-based design of ΔΣmodulators

Optimal finite impulse response (FIR) error feedback filters for noise shaping in modulators are designed by using weighting functions based on the system norms. We minimize the weighted norms of the quantization error in the output of a modulator, which corresponds to the minimization of the system norm. Three norms, the H2 system norm, the H∞ system norm, and the l1 norm of the impulse respon...

Erratum to: Unified LMI-based design of ΔΣ modulators

Fuzzy Control Systems: LMI-Based Design

This chapter describes widespread methods of model-based fuzzy control systems. The subject of this chapter is a systematic framework for the stability and design of nonlinear fuzzy control systems. We are trying to build a bridge between conventional fuzzy control and classic control theory. By building this bridge, the strong well developed tools of classic control could be used in model-base...

Design of H� Congestion Controller for TCP Networks Based on LMI Formulation

In this paper, a state feedback H¥ controller is proposed in order to design an active queue management (AQM) system based on congestion control algorithm for networks supporting TCP protocols. In this approach, the available link bandwidth is modeled as a time-variant disturbance. The purpose of this paper is to design a controller which is capable of achieving the queue size and can guarantee...

LMI based design for the Acrobot walking

This paper aims to further improve previously developed design for Acrobot walking based on partial exact feedback linearization of order 3. Namely, such an exact system transformation leads to an almost linear system where error dynamics along trajectory to be tracked is a 4-dimensional linear time-varying system having 3 time-varying entries only, the remaining entries being either zero or on...