Optimal State Estimation for Process Monitoring, Fault Diagnosis and Control

ISBN-13: 9780323858786 / Angielski / Miękka / 2022 / 400 str.

Ch Venkateswarlu; Rama Karri

Spis treści

Part I - BASIC DETAILS AND STATE ESTIMATION ALGORITHMS 1.?Optimal state estimation and its importance in process systems engineering  2.?Stochastic process and filtering theory  3.?Linear filtering and observation techniques with examples  4.?Mechanistic model-based nonlinear filtering and observation techniques for state estimation  5.?Data-driven modelling techniques for state estimation  6.?Optimal sensor configuration methods for state estimation 

Part II - APPLICATION OF MECHANISTIC MODEL-BASED NONLINEAR FILTERING AND OBSERVATION TECHNIQUES FOR STATE ESTIMATION IN CHEMICAL PROCESSES  7.?Optimal state estimation in multicomponent batch distillation   8.?Optimal state estimation in multicomponent reactive batch distillation with optimal sensor configuration   9.?Optimal state estimation in complex nonlinear dynamical systems  10.?Optimal state estimation of a kraft pulping digester?   11.?Optimal State Estimation of a High Dimensional Fluid Catalytic Cracking Unit  12.?Optimal state estimation of continuous distillation column with optimal sensor configuration   13.?Optimal state and parameter estimation in nonlinear CSTR 

Part III - APPLICATION OF QUANTITATIVE MODEL-BASED NONLINEAR FILTERING AND OBSERVATION TECHNIQUES FOR STATE ESTIMATION IN BIOCHEMICAL PROCESSES  14.?Optimal state and parameter estimation in the nonlinear batch beer fermentation process  15.?Optimal state and parameter estimation for online optimization of an uncertain biochemical reactor 

Part IV - APPLICATION OF DATA-DRIVEN MODEL-BASED TECHNIQUES FOR STATE ESTIMATION IN CHEMICAL PROCESSES  16.?Data-driven methods for state estimation in multi-component batch distillation   17.?Hybrid schemes for state estimation  18.?Future development, prospective and challenges in the application of soft sensors in industrial applications