Practical prescribed time tracking control over infinite time interval involving mismatched uncertainties and non-vanishing disturbances

A linear nonstationary pursuit problem in which a group of pursuers and a group of evaders are involved is considered under the condition that the group of pursuers includes participants whose admissible controls set coincides with that of the evaders and participants whose admissible controls sets belong to interior of admissible controls set of the evaders. The aim of the group of pursuers is to capture all the evaders. The aim of the group of evaders is to prevent the capture, that is, to allow at least one of the evaders to avoid the rendezvous. It is shown that, if in the game in which all the participants have equal capabilities at least one of the evaders avoids the rendezvous on an infinite time interval, then as a result of the addition of any number of pursuers with less capabilities, at least one of the evaders will avoid the rendezvous on any finite time interval.

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Approximation and Limit Results for Nonlinear Filters Over an Infinite Time Interval

SIAM Journal on Control and Optimization ◽

10.1137/s0363012997328178 ◽

1999 ◽

Vol 37 (6) ◽

pp. 1946-1979 ◽

Cited By ~ 9

Author(s):

Amarjit Budhiraja ◽

Harold J. Kushner

Keyword(s):

Nonlinear Filters ◽

Time Interval ◽

Infinite Time ◽

Infinite Time Interval

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Min–Max Game Theory over an Infinite Time Interval and Algebraic Riccati Equations

Control Theory for Partial Differential Equations ◽

10.1017/cbo9781107340848.008 ◽

2000 ◽

pp. 556-644

Keyword(s):

Game Theory ◽

Riccati Equations ◽

Time Interval ◽

Infinite Time ◽

Algebraic Riccati Equations ◽

Infinite Time Interval

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On the Placement of Active Bars and Optimal Feedback Gain in Random Adaptive Structures for Vibration Suppression

Volume 1: 20th Biennial Conference on Mechanical Vibration and Noise, Parts A, B, and C ◽

10.1115/detc2005-85220 ◽

2005 ◽

Author(s):

F. Yang ◽

R. Sedaghati ◽

D. Younesian ◽

E. Esmailzadeh

Keyword(s):

Optimization Technique ◽

Optimal Placement ◽

Feedback Gain ◽

Time Interval ◽

Infinite Time ◽

Random Load ◽

Adaptive Structures ◽

Optimal Velocity ◽

Optimal Feedback ◽

Infinite Time Interval

This paper addresses active vibration control of adaptive structures using piezoelectric active structural elements with built-in sensing and actuation function. Optimal placement and feedback gain of these active members are important issues, which are discussed in this study. An efficient optimal placement strategy has been developed using minimum control energy dissipating over infinite time interval. Optimal location of active members has been found through minimization of total control energy dissipating over infinite time interval using Simulated Annealing (SA) algorithm. Moreover, the effect of structural randomness and random load in optimal feedback gain has been investigated. To accomplish this, a mathematical model with reliability constraints on the stress and displacement is developed and the optimal velocity feedback gain of active members, using probabilistic optimization technique, is obtained. Illustrative examples are presented to demonstrate the effectiveness of this methodology. It is shown that deterministic approach can not provide reliable optimum design values.

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Generalized Memory: Fractional Calculus Approach

Fractal and Fractional ◽

10.3390/fractalfract2040023 ◽

2018 ◽

Vol 2 (4) ◽

pp. 23 ◽

Cited By ~ 17

Author(s):

Vasily E. Tarasov

Keyword(s):

Differential Equations ◽

Fractional Calculus ◽

Power Law ◽

Memory Function ◽

Time Interval ◽

Infinite Time ◽

Suggested Approach ◽

Infinite Time Interval ◽

History Of ◽

With Memory

The memory means an existence of output (response, endogenous variable) at the present time that depends on the history of the change of the input (impact, exogenous variable) on a finite (or infinite) time interval. The memory can be described by the function that is called the memory function, which is a kernel of the integro-differential operator. The main purpose of the paper is to answer the question of the possibility of using the fractional calculus, when the memory function does not have a power-law form. Using the generalized Taylor series in the Trujillo-Rivero-Bonilla (TRB) form for the memory function, we represent the integro-differential equations with memory functions by fractional integral and differential equations with derivatives and integrals of non-integer orders. This allows us to describe general economic dynamics with memory by the methods of fractional calculus. We prove that equation of the generalized accelerator with the TRB memory function can be represented by as a composition of actions of the accelerator with simplest power-law memory and the multi-parametric power-law multiplier. As an example of application of the suggested approach, we consider a generalization of the Harrod-Domar growth model with continuous time.

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