Preface 1. Introduction Overview A Brief History of LMIs in Control Theory Notes on the Style of the Book Origin of the Book 2. Some Standard Problems Involving LMIs. Linear Matrix Inequalities Some Standard Problems Ellipsoid Algorithm Interior-Point Methods Strict and Nonstrict LMIs Miscellaneous Results on Matrix Inequalities Some LMI Problems with Analytic Solutions 3. Some Matrix Problems. Minimizing Condition Number by Scaling Minimizing Condition Number of a Positive-Definite Matrix Minimizing Norm by Scaling Rescaling a Matrix Positive-Definite Matrix Completion Problems Quadratic Approximation of a Polytopic Norm Ellipsoidal Approximation 4. Linear Differential Inclusions. Differential Inclusions Some Specific LDIs Nonlinear System Analysis via LDIs 5. Analysis of LDIs: State Properties. Quadratic Stability Invariant Ellipsoids 6. Analysis of LDIs: Input/Output Properties. Input-to-State Properties State-to-Output Properties Input-to-Output Properties 7. State-Feedback Synthesis for LDIs. Static State-Feedback Controllers State Properties Input-to-State Properties State-to-Output Properties Input-to-Output Properties Observer-Based Controllers for Nonlinear Systems 8. Lure and Multiplier Methods. Analysis of Lure Systems Integral Quadratic Constraints Multipliers for Systems with Unknown Parameters 9. Systems with Multiplicative Noise. Analysis of Systems with Multiplicative Noise State-Feedback Synthesis 10. Miscellaneous Problems. Optimization over an Affine Family of Linear Systems Analysis of Systems with LTI Perturbations Positive Orthant Stabilizability Linear Systems with Delays Interpolation Problems The Inverse Problem of Optimal Control System Realization Problems Multi-Criterion LQG Nonconvex Multi-Criterion Quadratic Problems Notation List of Acronyms Bibliography Index.

/pdf/linear-matrix-inequalities-in-system-and-control-theory-2q5cf0pqm2.pdf

Linear Matrix Inequalities in System and Control Theory

This article introduces the FAO crop model AquaCrop. It simulates attainable yields of major herbaceous crops as a function of water consumption under rainfed, supplemental, deficit, and full irrigation conditions. The growth engine of AquaCrop is water-driven, in that transpiration is calculated first and translated into biomass using a conservative, crop-specific parameter: the biomass water productivity, normalized for atmospheric evaporative demand and air CO 2 concentration. The normalization is to make AquaCrop applicable to diverse locations and seasons. Simulations are performed on thermal time, but can be on calendar time, in daily time-steps. The model uses canopy ground cover instead of leaf area index (LAI) as the basis to calculate transpiration and to separate out soil evaporation from transpiration. Crop yield is calculated as the product of biomass and harvest index (HI). At the start of yield formation period, HI increases linearly with time after a lag phase, until near physiological maturity. Other than for the yield, there is no biomass partitioning into the various organs. Crop responses to water deficits are simulated with four modifiers that are functions of fractional available soil water modulated by evaporative demand, based on the differential sensitivity to water stress of four key plant processes: canopy expansion, stomatal control of transpiration, canopy senescence, and HI. The HI can be modified negatively or positively, depending on stress level, timing, and canopy duration. AquaCrop uses a relatively small number of parameters (explicit and mostly intuitive) and attempts to balance simplicity, accuracy, and robustness. The model is aimed mainly at practitioner-type end-users such as those working for extension services, consulting engineers, governmental agencies, nongovernmental organizations, and various kinds of farmers associations. It is also designed to fit the need of economists and policy specialists who use simple models for planning and scenario analysis.

AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles

conditions and an accurate semidefinite programming solver," The Journal of the SDPA family for solving large-scale SDPs," in Handbook on Semidefinite. Semidefinite Programming, Combinatorial. Optimization and Primal semidefinite programming problem Handbook of Semidefinite Programming. Kluwer. Solving Euclidean distance matrix completion problems via semidefinite programming. AY Alfakih, A Khandani, H Wolkowicz. Computational optimization.

/pdf/handbook-of-semidefinite-programming-1hywp52iad.pdf

Handbook of Semidefinite Programming

With the rapid developments in very large-scale integration (VLSI) technology, design and computer-aided design (CAD) techniques, at both the chip and package level, the operating frequencies are fast reaching the vicinity of gigahertz and switching times are getting to the subnanosecond levels. The ever increasing quest for high-speed applications is placing higher demands on interconnect performance and highlighted the previously negligible effects of interconnects such as ringing, signal delay, distortion, reflections, and crosstalk. In this review paper various high-speed interconnect effects are briefly discussed. In addition, recent advances in transmission line macromodeling techniques are presented. Also, simulation of high-speed interconnects using model-reduction-based algorithms is discussed in detail.

/pdf/simulation-of-high-speed-interconnects-4k5dt3lsur.pdf

Simulation of high-speed interconnects

The probabilistic finite element method (PFEM) is formulated for linear and non-linear continua with inhomogeneous random fields. Analogous to the discretization of the displacement field in finite element methods, the random field is also discretized. The formulation is simplified by transforming the correlated variables to a set of uncorrelated variables through an eigenvalue orthogonalization. Furthermore, it is shown that a reduced set of the uncorrelated variables is sufficient for the second-moment analysis. Based on the linear formulation of the PFEM, the method is then extended to transient analysis in non-linear continua.

The accuracy and efficiency of the method is demonstrated by application to a one-dimensional, elastic/plastic wave propagation problem and a two-dimensional plane-stress beam bending problem. The moments calculated compare favourably with those obtained by Monte Carlo simulation. Also, the procedure is amenable to implementation in deterministic FEM based computer programs.

Random field finite elements

Young men and women and fire

From a fire protection standpoint, telecommunications equipment facilities present a unique set of conditions. Although life safety hazards are minimal in such facilities, a fire that would be considered small in most other industrial settings can have a devastating impact on the community such facilities serve. This paper describes the development of a method that systematically assesses the fire risk associated with individual, discrete spaces in telecommunications facilities by measuring and reporting fire risk values for life safety and network integrity. The method, called the Central Office Fire Risk Assessment (COFRA) methodology, may be implemented manually or integrated into a computer-based program. It is unique in that it measures business interruption fire risk, uses decision tables extensively, and develops and treats subparameters.

Fire Risk Assessment for Telecommunications Central Offices

The National Fire Protection Association (NFPA) periodically updates each fire safety code and standard that it develops. Acknowledging the need for a document to prescribe fire safety for historic buildings, a complete and thorough rewrite of NFPA 914 was undertaken. The former recommended practice has now been issued as the Code for Fire Protection in Historic Structures. The 2001 edition identifies a process for analyzing fire safety needs in historic buildings, outlines generic approaches to dealing with specific provisions of other codes that may endanger historic integrity, and includes a performance-based approach to fire safety in historic buildings. This paper describes the background, revision process, and current proposed content NFPA 914.

Fire Safety Code for Historic Structures

Fuzzy fire safety

Several incidents in the last decade have shown the potential severity of a fire that causes interruption of a telecommunications network. Conformance with fire safety code requirements does not adequately address the susceptibility of critical equipment or service continuity. Initial evaluation of the problem revealed that significant conflicts existed among demands for technical accuracy, ease of use, and implementation cost. This led to development of a fire risk ranking method for the assessment of telecommunications network integrity. The approach uses a multiattribute evaluation model to determine the potential contributions to fire risk from individual fire safety parameters of a facility space. Weights for the identified parameters were developed systematically kom fire safety policy, objectives, and strategies. Methods were constructed to grade the parameters from on-site survey information. Principles of Delphi, decision tables, Analytic Hierarchy Process (Am), and other techniques of decision analysis were used in the development of parameter weights and grading methods. The scalar product of the parameter weights and grades produces a relative measure of the fire risk to integrity of a communications network.

/pdf/quantifying-fire-risk-for-telecommunications-network-3encljj4ax.pdf

John M. Watts

Papers

Young men and women and fire

Fire Risk Assessment for Telecommunications Central Offices

Fire Safety Code for Historic Structures

Fuzzy fire safety

Quantifying Fire Risk For Telecommunications Network Integrity