This communication deals with on-line identification of systems with delayed inputs. It is based on new nonasymptotic algebraic estimation techniques. A concrete casestudy and an application to transmission delays are discussed. Several successful numerical simulations are provided even with noisy data.

We present an integrated optofluidic sensor system for in-line characterization of micro-droplets. The device provides information about the droplet generation frequency, the droplet volume, and the content of the droplet. Due to its simplicity this principle can easily be implemented with other microfluidic components on one and the same device. The sensor is based on total internal reflection...

In this paper we apply a recently introduced time domain parameter identification method to the estimation of the aerodynamic coefficients in aircraft systems. The method consists in improving the Local Weighted Regression (LWR) technique by adding a data Retention-and-Deletion (RD) strategy. The improvement comes with reduced computational effort since the two techniques can share their main c...

In this work an algorithm for on-line estimation of the nonlinear hydrodynamics in underwater vehicles is presented. The algorithm is able to estimate physical parameters from natural operation signals. Identifiability and convergence of the parameter trajectories are analyzed. The application of the algorithm to a spherical vehicle is described with numerical simulations. Copyright c ° 2005 IFAC

Saxén, John-Eric: Identification of Switching Systems – An On-line Algorithm. Master’s Thesis, Department of Information Technologies, Åbo Akademi University, 2010. 80 pages. This thesis focuses on the identification of special types of systems, hybrid systems with switching character, which present a new challenge for the research circulating around system identification. A switching identific...

This paper describes a simulation tool developed at West Virginia University (WVU) for on-line aircraft parameter identification (PID) within a specific fault tolerant flight control scheme for the NASA IFCS F-15 program. The design of intelligent controllers capable of handling various types of control system failures is a challenging task that requires extensive simulation support. The simula...

Abslract-This paper proposes a computationally efficient artificial neural network (ANN) model for system identification of unknown dynamic nonlinear continuous and discrete time systems. A single layer functional link ANN is used for the model where the need of hidden layer is eliminated by expanding the input pattern by Chebyshev •polynomials. These models are linear in their parameters. The ...

Synthesis of an adaptive parameter identifier is developed for linear dynamic systems with finitely many lumped delays in the state vector and control input. The state of the system is assumed to be available for measurements. Once the parameter identifiability is guaranteed the simultaneous on-line identification of the system parameters and delays is achieved by the adaptive identifier propos...