Control and Dynamic Systems V37: Advances in Industrial Systems: Advances in Theory and Applications
Academic Press, Dec 2, 2012 - Technology & Engineering - 438 pages
Control and Dynamic Systems, Volume 37: Advances in Industrial Systems provides an overview of the state of knowledge in industrial systems. This volume contains nine chapters and begins with a paper on the objective measures used to characterize the performance of computers which control critical processes. This is followed by separate chapters on the design of automotive power train control systems; control techniques in the pulp and paper industry; developments production scheduling research and practice; a general model-based failure detection and diagnosis methodology; and the application of model-predictive control techniques to problems with several input and output variables. Subsequent chapters deal with techniques for dealing with the problem of providing a complete, coherent, and reliable data base from a collection of switch and breaker status data and measurements; systematic approaches to modifying a finite element model; and optimization techniques in industrial chemical systems. The contributions in this volume will provide a unique and significant reference source for practicing professionals as well as those involved with advancing the state of the art.
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CHAPTER 3 CONTROL TECHNIQUES IN THE PULP AND PAPER INDUSTRY
CHAPTER 4 ADVANCES IN THE THEORY AND PRACTICE OF PRODUCTION SCHEDULING
THE ORTHOGONAL PARITY EQUATION APPROACH
CHAPTER 6 MODEL PREDICTIVE CONTROL OF PROCESSES WITH MANY INPUTS AND OUTPUTS
15 Time hours actuator adaptive control algorithm analytical model application approach Automatic bad data breakdown point closed-loop coefﬁcients column complex control system control theory cost damping matrix damping ratios deﬁned deﬁnition developed disturbance DYNAMIC SYSTEMS eigenstructure assignment eigenvalues eigenvectors elements Engineering equality constraints estimation theory estimator example failure feedback ﬁlter filtering ﬁnite ﬁrst ﬂow ﬂowrate Hampel hard deadlines identiﬁcation IEEE IEEE Transactions incidence matrix industrial inﬂows inﬂuence inputs linear loop M—estimators manipulated variables method minimize mode shapes modeling errors noise nonlinear programming objective function operating optimal control optimization orthogonal output variables overﬂows paper machine parameters parity equations performance measures plant pole placement power systems power train prediction horizon procedure production scheduling proﬁle quadratic programming residuals response Robust Estimation sampling period scheduling problem sensor simulation solution solve speciﬁc state-space structure techniques threshold torque values vector zero