This paper proposes a motion control system for observation class ROVs. It is essentially an
output feedback control system composed of a MIMO PID controller, which is aided by …

Controlling chaotic systems is very often investigated by using empirical laws, without taking
advantage of the structure of the governing equations. There are two concepts, observability …

Left inversion of linear time-invariant systems aims at identifying the input acting on a
system, for the zero initial state, from partial information on the input and the state. In the …

Recent advances in learning-based control have increased interest in stable inversion to
meet growing performance demands. Here, we establish necessary and sufficient conditions …

The property of system invertibility is important both from a theoretical standpoint and an
important consideration in left and right inversion problems that deal with input estimation …

This article proposes a new approach for computing controlled invariant and output invisible
subspaces of parameter-dependent systems. Nonstrictly proper systems are considered …

Controlling the dynamics of chaotic systems is a task which is often addressed in an
empirical way, particularly for placing sensors and actuators. Here, we show that selecting …

This paper considers the problem of constructing an inverse system for a given linear
timeinvariant dynamical discrete-time system. We suggest a method to obtain the matrices of …

This paper proposes a MCS (Motion Control System) with trajectory tracking capability for
observation class ROVs (Remotely Operated Vehicle) used to carry out automated high …

This work brings forward several interesting facts about system properties of linear time-
invariant discrete-time systems like output controllability, state controllability and state …