Interactive System Identification: Prospects and Pitfalls by Torsten Bohlin
The craft of designing mathematical models of dynamic objects offers a large number of methods to solve subproblems in the design, typically parameter estimation, order determination, validation, model reduc tion, analysis of identifiability, sensi tivi ty and accuracy. There is also a substantial amount of process identification software available. A typi cal 'identification package' consists of program modules that implement selections of solution methods, coordinated by supervising programs, communication, and presentation handling file administration, operator of results. It is to be run 'interactively', typically on a designer's 'work station' . However, it is generally not obvious how to do that. Using interactive identification packages necessarily leaves to the user to decide on quite a number of specifications, including which model structure to use, which subproblems to be solved in each particular case, and in what or der. The designer is faced with the task of setting up cases on the work station, based on apriori knowledge about the actual physical object, the experiment conditions, and the purpose of the identification. In doing so, he/she will have to cope with two basic difficulties: 1) The com puter will be unable to solve most of the tentative identification cases, so the latter will first have to be form11lated in a way the computer can handle, and, worse, 2) even in cases where the computer can actually produce a model, the latter will not necessarily be valid for the intended purpose.-
Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory
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Robust Filtering for Uncertain Systems
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Adaptive Control
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Distributed Coordination of Multi-agent Networks
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Control of Higher-Dimensional PDEs
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Stochastic Reachability Analysis of Hybrid Systems
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Congestion Control in Data Transmission Networks
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Adaptive Dynamic Programming for Control
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Stability and Stabilization of Nonlinear Systems
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Optimal Design of Distributed Control and Embedded Systems
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Learning and Robust Control in Quantum Technology
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Randomized Algorithms for Analysis and Control of Uncertain Systems
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Cooperative Control of Multi-Agent Systems
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Stability Theory of Switched Dynamical Systems
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Sampled-Data Models for Linear and Nonlinear Systems
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Discrete-Time and Discrete-Space Dynamical Systems
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Simulation-Based Algorithms for Markov Decision Processes
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Control of Wave and Beam PDEs
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Optimization and Dynamical Systems
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Stabilization, Optimal and Robust Control
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Loop Transfer Recovery: Analysis and Design
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Iterative Learning Control
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Model Reduction for Control System Design
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Functional Adaptive Control
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Dynamic Surface Control of Uncertain Nonlinear Systems
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Nonsmooth Mechanics
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Stability and Stabilization of Infinite Dimensional Systems with Applications
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Analysis and Control of Boolean Networks
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Stabilization of Navier-Stokes Flows
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Control of Nonlinear Dynamical Systems
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Non-Adaptive and Adaptive Control of Manipulation Robots
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Theory of Robot Control
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Direct Adaptive Control Algorithms:
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Control of Complex and Uncertain Systems
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Applied Dynamics and CAD of Manipulation Robots
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Kinematics and Trajectory Synthesis of Manipulation Robots
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Analysis of Periodically Time-Varying Systems
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Modelling and Control of Dynamic Flows in Communication Networks
| SKU | Unavailable |
| ISBN 13 | 9783642486203 |
| ISBN 10 | 3642486207 |
| Title | Interactive System Identification: Prospects and Pitfalls |
| Author | Torsten Bohlin |
| Series | Communications And Control Engineering |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 2012-06-05 |
| Number of pages | 365 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |