Adaptive observers were first introduced by Carroll and Lindorff in [1], and later on modified by Kudva and Narendra in [2]. For a more detailed analysis and design of adaptive systems see [3], [4], [5]. In many applications where the parameters are unknown and states are not accessible, adaptive observer appears to be a valuable method in estimation of both parameters and states of the system....

From previous studies of (Besançon, 1999; Besançon, 2000) on adaptive observer design for nonlinear systems, and the contribution of (Zhang, 2001) on exponential adaptive observers for linear time-varying systems, the purpose here is to propose some new observer design for a class of nonlinear systems. This observer can in turn be made adaptive, and in particular can help in detecting changes i...

Nowadays, there is an increasing use of sampling methods in network and spatial populations. Although the most common link-tracing designs such as adaptive cluster sampling and snowball sampling have advantages over conventional sampling designs such as simple random sampling and cluster sampling, these designs still present many drawbacks. Adaptive web sampling is a new link-tracing design tha...

We apply control theoretic and optimization techniques to adaptively design incentives for principal-agent problems in which the principal faces adverse selection its interaction with multiple agents. In particular, principal's objective depends on data from strategic decision makers (agents) whose decision-making process is unknown a priori. consider both cases where agents play best response ...

A new nonlinear adaptive control approach is proposed for the redundantly actuated parallel manipulators. In comparison with the existing adaptive control schemes, the parameterization expression of the model parameters is not needed in the proposed approach according to the properties of the parameters in the inertia matrix, and the design of adaptive controller can be simplified considerably ...

This paper investigates the advantages of adaptive waveform amplitude design for estimating parameters of an unknown channel/medium under average energy constraints. We present a statistical framework for sequential design (e.g., design of waveforms in adaptive sensing) of experiments that improves parameter estimation (e.g., unknown channel parameters) performance in terms of reduction in mean...

Adaptive control as applied to machine tool systems refers to control of the operating parameters based on measurement of the process characteristics. Even the simplest adaptive control system with feedrate control based on cutting force measurements, is quite complex. The adaptive control loop is of a sampled-data nature with a nonlinear variable gain which depends on the operating parameters ...

in this paper, the problem of decentralized model reference adaptive control (mrac) for a class of large scale systems with time varying delay in interconnected term and input and state delays is studied. to compensate the effect of input delay indirectly, a smith predictor built on. to handle the effects of the time delays in input, the adaptive controller part includes two auxiliary dynamic f...