Control and Dynamic Systems, Volume 36
Control and Dynamic Systems: Advances in Theory and Applications, Volume 36 reviews advances in theory and applications of large scale control and dynamic systems. Contributors focus on production control and the determination of optimal production rates, along with active control systems, uncertainty in control system design, and methods for analyzing multistage commodity markets.
This volume is organized into eight chapters and begins with an introduction to multiobjective decision-tree analysis and its significance in applied situations, with two substantive examples. It then shifts to important techniques for the determination of robust economic policies, methods used in the analysis of multistage commodity markets, and a computationally effective algorithm for the determination of the optimal production rate. This book also describes many highly effective techniques for near optimal and robust model truncation. Robust adaptive identification and control algorithms for disturbances and unmodeled system dynamics are given consideration. The final chapter provides examples of the applied significance of the techniques presented in this book, including such large scale systems areas as aerospace, defense, chemical, environmental, and infrastructural industries.
This book will be of interest to students and researchers in engineering and computer science.
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Chapter 3 Methods in the Analysis of Multistage Commodity Markets
CHAPTER 4 A CONTROL PROBLEM FOR PROCESSING DISCRETE PARTS WITH RANDOM ARRIVALS
CHAPTER 5 MODEL REDUCTION FOR FLEXIBLE STRUCTURES
accelerometer actuator distribution adaptive control adaptive rule algorithm analysis applied approach approximation boundary conditions bounded linear operator closed loop coefﬁcients compensator conﬁguration considered constraints control design convergence cost damping decision deﬁned deﬁnite denoted determined diagonal discussed distributed parameter systems distributed transducers equation equilibrium estimates example feedback Figure ﬁlm ﬁlter ﬁnite ﬁrms ﬁrst ﬁt ﬂexible structure ﬂow frequency interval given grammians Hankel singular values Hessian implementation inﬁnite dimensional input Lyapunov matrix method min-max modal coordinates model reduction modes multiobjective near-optimal reduction node noninferior nonlinear Nonlinear Programming objective function obtained optimal control optimization problem output piezoelectric players poles production rate proﬁt Q-optimal control policy quadratic queue length reduced model reduced order reduction error representation robust controller Rustem satisﬁes semigroup sensor singularity functions solution spatial speciﬁc stability stepsize strategy sufﬁcient techniques Theorem transfer function variables vector weighting functions weighting matrices zero