The best concise account of the basic mathematical aspects of control has been brought completely up to date while retaining its focus on state-space methods and its emphasis on points of mathematical interest. The authors have written a new chapter on multivariable theory and a new appendix on Kalman filtering, added a large number of new problems, and updated all the references. This book will continue as a fundamental resource for applied mathematicians studying control theory and for control engineers and electrical and mechanical engineers pursuing mathematically oriented studies. From reviews of the first edition: \"Excellent....Strongly recommended.\"--Bulletin of the International Mathematical Association. \"Could hardly be bettered.\"--Times Higher Education Supplement

Introduction to mathematical control theory (2nd edition), by S. Barnett and R. G. Cameron. Pp 404. £25 (hardback), £12·50 (paperback). 1985. ISBN 0-19-859640-5, 859639-1 (Oxford University Press)

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Elements Of Mathematical Ecology

[1] Time series measurements of temperature and salinity recorded at 8°N, 90°E in the south central Bay of Bengal from a Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction buoy, along with satellite altimetry and scatterometer data, are utilized to describe the seasonal and intraseasonal variability of barrier layer thickness (BLT) during November 2006 to April 2009. The BLT shows strong seasonality with climatological minima during both March–May and August–September and maxima during December–February. Large-amplitude, intraseasonal fluctuations in BLT are observed during September 2007 to May 2008 and during September 2008 to April 2009. The observed intraseasonal variability in BLT is mainly controlled by the vertical movement of isothermal layer depth (ILD) in the presence of a shallow mixed layer. Further, the analysis shows that both ILD and BLT are modulated by vertical stretching of the upper water column associated with westward propagating intraseasonal Rossby waves in the southern bay. These waves are remotely forced by intraseasonal surface winds in the equatorial Indian Ocean.

https://agupubs.onlinelibrary.wiley.com/doi/pdf/10.1029/2010JC006657

Intraseasonal variability in barrier layer thickness in the south central Bay of Bengal

The upper Bay of Bengal salinity structure in a high-resolution model

Delay-dependent robust stabilization for uncertain neutral systems with distributed delays

This paper is concerned with the robust stability and stabilization for a class of switched discrete-time systems with state parameter uncertainty. Firstly, a new matrix inequality considering uncertainties is introduced and proved. By means of it, a novel sufficient condition for robust stability and stabilization of a class of uncertain switched discrete-time systems is presented. Furthermore, based on the result obtained, the switching law is designed and has been performed well, and some sufficient conditions of robust stability and stabilization have been derived for the uncertain switched discrete-time systems using the Lyapunov stability theorem, block matrix method, and inequality technology. Finally, some examples are exploited to illustrate the effectiveness of the proposed schemes.

/pdf/robust-stability-and-stabilization-of-uncertain-switched-14dgnknspd.pdf

Robust stability and stabilization of uncertain switched discrete-time systems

The North Indian Ocean circulation and its variability as seen in a numerical hindcast of the years 1993–2004

Numerical implementation for solving the symmetric regularized long wave equation

Exponential stability of certain neutral differential equations

In this study, a robust control technique is investigated for the reference tracking of uncertain time-delayed systems in the existence of the actuator saturation. Due to emerging of some control complexities, as well as the input limitations, time-varying delay, uncertainty, and external disturbance, such a tracking goal would be realized through suitable design of the composite nonlinear feedback (CNF) controller. Thus, considering the mentioned limitations, a Lyapunov-based procedure is used to determine the control law. Then, the parameters of the CNF input are derived by using the solution of a linear matrix inequality (LMI) problem. The planned tracking idea is numerically implemented in two uncertain control systems. Some performance characteristics (i.e., the tracking error, boundedness, and transient responses) are compared with similar ones. Accordingly, the simulations illustrate the efficiency of the suggested control procedure over the existing CNF approaches. 

Thaned Rojsiraphisal

Papers

Robust stability and stabilization of uncertain switched discrete-time systems

The North Indian Ocean circulation and its variability as seen in a numerical hindcast of the years 1993–2004

Numerical implementation for solving the symmetric regularized long wave equation

Exponential stability of certain neutral differential equations

Robust tracking composite nonlinear feedback controller design for time-delay uncertain systems in the presence of input saturation.