The field of identification and process-parameter estimation has developed rapidly during
the past decade. In this survey paper the state-of-the-art/science is presented in a systematic …

We review the problem of estimating parameters and unobserved trajectory components
from noisy time series measurements of continuous nonlinear dynamical systems. It is first …

With increasing demands for efficiency and product quality plus progress in the integration of
automatic control systems in high-cost mechatronic and safety-critical processes, the field of …

The supervision of technical processes is the subject of increased development because of
the increasing demands on reliability and safety. The use of process computers and …

Bayesian methods are a powerful tool in many areas of science and engineering, especially
statistical physics, medical sciences, electrical engineering, and information sciences. They …

This is a revised version of the 1984 book of the same name but considerably modified and
enlarged to accommodate the developments in recursive estimation and time series …

Adaptive Control (second edition) shows how a desired level of system performance can be
maintained automatically and in real time, even when process or disturbance parameters …

The extraordinary development of digital computers (microprocessors, microcontrollers) and
their extensive use in control systems in all fields of applications has brought about …

This research develops methods of self-reorganization which can provide a complex linear
dynamic system with the ability to re-structure itself to compensate for failures in its effectors …

Mathematical models of dynamic systems are required in most areas of scientific enquiry
and take various forms, such as differential equations, difference equations, state-space …