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Details

Autor(en) / Beteiligte
Titel
Online Optimization of Large Scale Systems [electronic resource]
Auflage
1st ed. 2001
Ort / Verlag
Berlin, Heidelberg : Springer Berlin Heidelberg
Erscheinungsjahr
2001
Link zum Volltext
Beschreibungen/Notizen
  • Bibliographic Level Mode of Issuance: Monograph
  • Includes bibliographical references at the end of each chapters and index.
  • I Optimal Control for Ordinary Differential Equations -- Sensitivity Analysis and Real-Time Optimization of Parametric Nonlinear Programming Problems -- Sensitivity Analysis and Real-Time Control of Parametric Optimal Control Problems Using Boundary Value Methods -- Sensitivity Analysis and Real-Time Control of Parametric Optimal Control Problems Using Nonlinear Programming Methods -- Sensitivity Analysis and Real-Time Control of a Container Crane under State Constraints -- Real-Time Control of an Industrial Robot under Control and State Constraints -- Real-Time Optimal Control of Shape Memory Alloy Actuators in Smart Structures -- Real-Time Solutions for Perturbed Optimal Control Problems by a Mixed Open- and Closed-Loop Strategy -- Real-Time Optimization of DAE Systems -- Real-Time Solutions of Bang-Bang and Singular Optimal Control Problems -- Conflict Avoidance During Landing Approach Using Parallel Feedback Control -- II Optimal Control for Partial Differential Equations -- Optimal Control Problems with a First Order PDE System — Necessary and Sufficient Optimality Conditions -- Optimal Control Problems for the Nonlinear Heat Equation -- Fast Optimization Methods in the Selective Cooling of Steel -- Real-Time Optimization and Stabilization of Distributed Parameter Systems with Piezoelectric Elements -- Instantaneous Control of Vibrating String Networks -- Modelling, Stabilization, and Control of Flow in Networks of Open Channels -- Optimal Control of Distributed Systems with Break Points -- to Model Based Optimization of Chemical Processes on Moving Horizons -- Multiscale Concepts for Moving Horizon Optimization -- Real-Time Optimization for Large Scale Processes: Nonlinear Model Predictive Control of a High Purity Distillation Column -- Towards Nonlinear Model-Based Predictive Optimal Control of Large-Scale Process Models with Application to Air Separation Plants -- IV Delay Differential Equations in Medical Decision Support Systems -- Differential Equations with State-Dependent Delays -- Biomathematical Models with State-Dependent Delays for Granulocytopoiesis -- Stochastic Optimization for Operating Chemical Processes under Uncertainty -- A Multistage Stochastic Programming Approach in Real-Time Process Control -- Optimal Control of a Continuous Distillation Process under Probabilistic Constraints -- Adaptive Optimal Stochastic Trajectory Planning -- Stochastic Optimization Methods in Robust Adaptive Control of Robots -- Multistage Stochastic Integer Programs: An Introduction -- Decomposition Methods for Two-Stage Stochastic Integer Programs -- Modeling of Uncertainty for the Real-Time Management of Power Systems -- Online Scheduling of Multiproduct Batch Plants under Uncertainty -- VIII Combinatorial Online Planning in Transportation -- Combinatorial Online Optimization in Real Time -- Online Optimization of Complex Transportation Systems -- Stowage and Transport Optimization in Ship Planning -- IX Real-Time Annealing in Image Segmentation -- Basic Principles of Annealing for Large Scale Non-Linear Optimization -- Multiscale Annealing and Robustness: Fast Heuristics for Large Scale Non-linear Optimization -- Author Index.
  • Whether costs are to be reduced, profits to be maximized, or scarce resources to be used wisely, optimization methods are available to guide decision making. In online optimization the main issue is: incomplete data; and the scientific challenge: How well can an online algorithm perform? Can one guarantee solution quality, even without knowing all data in advance? In real-time optimization there is an additional requirement, decisions have to be computed very fast, fast in relation to the time frame of the instance we consider. Online and real-time optimization problems occur in all branches of optimization: linear, nonlinear, integer, stochastic. These areas have developed their own techniques but they are addressing the same issues: quality, stability, and robustness of the solutions. To fertilize this emerging topic of optimization theory and to foster cooperation between the different branches of optimization, the Deutsche Forschungsgemeinschaft (DFG) has supported a Priority Programme "Online Optimization of Large Systems". This volume contains "background articles" and "research articles". Background articles are intended to give an overview over the basic theory in the respective area and are accessible to graduate math students. Research articles summarize the progress in a project achieved in the Priority Programme.
  • English