A new non-linear multi-variable multiple-controller incorporating a neural network learning sub-model is proposed. The unknown multivariable non-linear plant is represented by an equivalent stochastic model consisting of a linear timevarying sub-model plus a non-linear neural-network based learning sub-model. The proposed multiple controller methodology provides the designer with a choice of us...

modern integrated circuits consist of millions of standard cells and routing paths. in nano-scale designs, mis-prediction is a dominant problem that may diminish the quality of physical design algorithms or even result in the disruption of the convergence of the design cycle. in this paper, a new planning methodology is presented in which a master-plan of the chip is constructed at the early le...

In the present paper, a new 2-D Van der Polstructural oscillator model is introduced for the vortex induced vibrations of circular cylinders.The main purpose of this task is to control the recently introduced model by means of modern control definitions in state space. In order to control the system, the whole model is linearized about its equilibrium point by deriving state-space matrices. The...

In this paper the active vibration control of a four-story shear frame instrumented with piezoelectric actuators is presented. The piezoelectric actuators are hosted on the columns in two manners and the produced controlling forces by actuators are considered in the equation of motion. The smart structure modeling and control design is carried out using MATLAB software in state space form. Subs...

The premise in low-authority control (LAC) is that the actuators have limited authority, and hence cannot signi cantly shift the eigenvalues of the system [1, 2]. As a result, the closed-loop eigenvalues can be well approximated analytically using perturbation theory. These analytical approximations may su ce to predict the behavior of the closed-loop system in practical cases, and will provide...

This paper presents the design of a closed-loop micromachined accelerometer using a sensitivity functions shaping approach in order to reach the desired measurement performance. The controller design is based on an identified model of the plant (MEMS, readout circuit and actuator) and a pole placement strategy. Simulation results and real-time application on a prototype show the feasibility and...

The aim of this work is to motivate the use of linear flatness, or controllability, to design a feedback control law for the rather challenging mechanism known as the ‘Furuta pendulum’. This is achieved by introducing three feedback controller design options for the stabilization and rest-to-rest trajectory tracking tasks: a direct pole placement approach, a hierarchical high-gain approach and ...

Control systems subject to delays have been extensively studied (see, e.g. the textbook [1]). Recently, several researchers have sought to design controllers that usemultiple delayed observations, with the motivation that properly designed delays can in some special cases act to stabilize a system [2–4]. Fundamentally, these multiple-delay controllers are constructed by first designing controll...

The paper presents robust controller design for systems with uncertain transport delays. Robust PI controllers are designed using approach, which combines the method based on plotting the stability boundary locus in the (kp, ki)-plane with the pole-placement method. The approach enables to assure robust stability of the closed loop as well as the quality of the control response prescribed by th...

A robust pole placement controller design method is presented for discrete-time systems with parametric model uncertainties contained within known bounds. The design methodology is based on the minimization of a cost function by using genetic algorithms. It allows for a thorough assessment of robust performance in addition to robust stability. The effectiveness of this technique is shown for a ...