Exponential stability of the second order linear delay differential equation in $x$ and $u$-control $$ \ddot{x}(t)+a_1(t)\dot{x}(h_1(t))+a_2(t)x(h_2(t))+a_3(t)u(h_3(t))=0 is studied, where indirect feedback control $\dot{u}(t)+b_1(t)u(g_1(t))+b_2(t)x(g_2(t))=0$ connects $u$ with solution. Explicit sufficient conditions guarantee that both decay exponentially.

Highly accurate sensor measurements are crucial in order for power plants to effectively operate, as well as to predict and subsequently prevent any potentially catastrophic failures. As the cost of sensors decreases while their power increases, distributed sensor networks become a more attractive option for implementation in power plants. In this work, we investigate the use of a distributed s...

Indirect closed-loop identification assumes the knowledge of the controller. In this brief, the constrained version of the instrumental variable (IV) methods is developed. It is based on using the known controller parameters to impose linear constraints upon the closed-loop system parameters and then solving the constrained estimation problem by the Lagrange method. The developed constrained IV...

this study is an attempt tofind the effect of four types of feedback(direct,underline,code,translation)on the writing performance of iranian learners ofjapanese as a foreign language.in this research,we have tried to suggest new ways of correcting students’writing through giving different kinds of feedback in the process of learning to write.the study focused on the accuracy of using prepositio...

Jing Zhang,* Yu-xi Liu, and Franco Nori Advanced Science Institute, The Institute of Physical and Chemical Research (RIKEN), Wako-shi, Saitama 351-0198, Japan Department of Automation, Tsinghua University, Beijing 100084, People’s Republic of China CREST, Japan Science and Technology Agency (JST), Kawaguchi, Saitama 332-0012, Japan Institute of Microelectronics, Tsinghua University, Beijing 100...

A new hybrid direct/indirect adaptive fuzzy neural network (FNN) controller with a state observer and supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The hybrid adaptive FNN controller, the free parameters of which can be tuned on-line by an observer-based output feedback control law and adaptive law, is a combination of direct and indirect ...

Gene regulatory networks consist of direct interactions but also include indirect interactions mediated by metabolites and signaling molecules. We describe how these indirect interactions can be derived from a model of the underlying biochemical reaction network, using weak time-scale assumptions in combination with sensitivity criteria from metabolic control analysis. We apply this approach to...

We address the problem of optimizing operation of a process where there are extra degrees of freedom, and where the optimum is not at some constraint. In practice, there are always unknown disturbances and model uncertainties which make this task complicated. The key idea of this paper is to turn the non-linear optimization control problem into a setpoint control problem so that we achieve “sel...

The present paper describes the development of an indirect adaptive fuzzy control scheme employing feedback linearizing technique. The scheme proposes the development of a fuzzy certainty equivalence controller for controlling non-linear plants. This controller is designed on the basis of plant parameccepted 3 January 2011 vailable online 11 January 2011 eywords: ndirect adaptive control ters e...

The paper focuses on the synthesis of adaptive robust controllers that achieve not only excellent output tracking performance but also accurate parameter estimations for secondary purposes such as machine health monitoring and prognostics. Such an objective is accomplished through an intelligent integration of the output tracking performance oriented direct adaptive robust control (DARC) design...