Erratum to “Algorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems”

A Kalman Filter-based Stable Dynamic Inversion for Discrete-time, Linear, Time-varying Systems

In this paper the problem of estimating an unknown input for discretetime, non-minimum phase, multivariable, linear time-varying systems (LTV) is considered. The initial condition of the plant may be unknown and stochastic process and measurement noise are included. The input signal is modelled as a random walk with drifts. Then it is estimated using a Kalman filter for a uniformly detectable a...

Dynamic inversion for multivariable non-affine-in-control systems via time-scale separation

Dynamic Priority Inversion Avoidance in Real-Time Operating Systems

One of the most important design goals in a real-time system is to guarantee that all tasks can finish their work before reaching deadline. However, the sequence of resource allocation among tasks of different priorities may result in a severe priority inversion problem such that a high priority task will violate its deadline requirement. Although previous solutions can shorten the latency resu...

Improved Pi Control via Dynamic Inversion

Abstract: In this paper we present a new design methodology to achieve high performances in the setpoint following task by means of a standard Proportional-Integral (PI) controller. In particular, a dynamic inversion procedure is adopted to synthesize a suitable command input to the closed-loop control system. In this way, the PI parameters can be selected for a load rejection purpose, as the d...

Inertia-Independent Generalized Dynamic Inversion Spacecraft Control

The generalized dynamic inversion control methodology is applied to the spacecraft attitude trajectory tracking problem. It is shown that the structure of the skew symmetric cross product matrix alleviates the need to include the inertia matrix in the control law. Accordingly, the proposed control law depends solely on attitude and angular velocity measurements, and it neither requires knowledg...