Current layered accretion models neglect the properties of the “dead zone”. However, as argued here from simple considerations, the thickness of this zone is a critical quantity when the disc is in hydrostatic equilibrium. It controls not only the structure of the superficial, active layers, but also the mid-plane density and the total disc mass, and should therefore be introduced in models of ...

Two control laws, to control the liquid pressure of an agricultural spray boom are presented and compared. Characteristic for the process is a dead zone and a time varying delay. The first control law is rather intuitive and is based on direct dead zone compensation and a pole placement idea. The other control law originates from sliding mode control where the continuous part of the control con...

Quantization is instrumental in enabling the rich feature set of JPEG 2000. Several quantization options are provided within JPEG 2000. Part I of the standard includes only uniform scalar dead-zone quantization, while Part II allows both generalized uniform scalar dead-zone quantization and trellis coded quantization (TCQ). In this paper, an overview of these quantization methods is provided. I...

Abstract: In this paper, we present a fuzzy model based indirect adaptive control scheme for a class of nonlinear systems with a dead-zone. The Takagi-Sugeno (TS) fuzzy model is used for representing a nonlinear system, where the parameters of the fuzzy model are updated online according to Lyapunov stability theorem. An inverse functions are cascaded with the plant to cancel the effects of dea...

We consider standard robust adaptive control designs based on the dead-zone and projection modifications, and compare their performance w.r.t. a worst case transient cost functional penalizing the L norm of the output, control and control derivative. If a bound on the L norm of the disturbance is known, it is shown that the dead-zone controller outperforms the projection controller if the a pri...

The main purpose of this study is to propose an iterative learning control (ILC) algorithm for non-linear systems with dead-zone input and time delay in presence of measurement noise. The dead-zone non-linearity is described by a general model and all parameters of the dead-zone are unknown. The state function is allowed to grow as fast as any polynomial with arbitrary order, and thus does not ...

We consider robust adaptive control designs for relative degree one, minimum phase linear systems of known high frequency gain. The designs are based on the dead-zone and projection modifications, and we compare their performance w.r.t. a worst case transient cost functional with a penalty on the L∞ norm of the output, control and control derivative. We establish two qualitative results. If a b...