Identification for Automotive Systems by Daniel Alberer
Increasing complexity and performance and reliability expectations make modeling of automotive system both more difficult and more urgent. Automotive control has slowly evolved from an add-on to classical engine and vehicle design to a key technology to enforce consumption, pollution and safety limits. Modeling, however, is still mainly based on classical methods, even though much progress has been done in the identification community to speed it up and improve it. This book, the product of a workshop of representatives of different communities, offers an insight on how to close the gap and exploit this progress for the next generations of vehicles.-
Statistical Physics I
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Hybrid Integrator-Gain Systems
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Matrix-Weighted Graphs
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Distributed Coordination Theory for Robot Teams
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Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
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Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems
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Advances in H∞ Control Theory
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Security and Resilience of Control Systems
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Data-Driven, Nonparametric, Adaptive Control Theory
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Networked Embedded Sensing and Control
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Optimization and Optimal Control in Automotive Systems
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Optimization Based Clearance of Flight Control Laws
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Fault Detection and Flight Data Measurement
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Analysis and Synthesis of Networked Control Systems
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Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems
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Automotive Model Predictive Control
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Robust Control and Linear Parameter Varying Approaches
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Modeling and Identification of Linear Parameter-Varying Systems
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Complexity, Analysis and Control of Singular Biological Systems
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Frequency Domain Criteria for Absolute Stability
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Search and Classification Using Multiple Autonomous Vehicles
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Advances in the Theory of Control, Signals and Systems with Physical Modeling
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Perspectives in Mathematical System Theory, Control, and Signal Processing
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Robot Motion and Control 2011
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Saturated Switching Systems
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Finite-Time Stability and Control
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Robustness in Identification and Control
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Realization Probabilities
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Advances in Filtering and Optimal Stochastic Control
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Robust Stability and Convexity
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Interactive Multi-Objective Programming as a Framework for Computer-Aided Control System Design
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Variational and Hamiltonian Control Systems
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Robot Motion Planning and Control
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Learning Automata and Stochastic Optimization
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Intelligent Control and Automation
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Realization Theory of Continuous-Time Dynamical Systems
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Modeling, Estimation, and Their Applications for Distributed Parameter Systems
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Optimal Feedback Control
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An Expert Systems Approach to Computer-Aided Design of Multivariable Systems
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Distributed Decision Making and Control
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Stochastic Models for Laser Propagation in Atmospheric Turbulence
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New Directions in Nonlinear Observer Design
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Safe Adaptive Control
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Recursive Nonlinear Estimation
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Detection of Abrupt Changes in Signals and Dynamical Systems
| SKU | Unavailable |
| ISBN 13 | 9781447122203 |
| ISBN 10 | 1447122208 |
| Title | Identification for Automotive Systems |
| Author | Daniel Alberer |
| Series | Lecture Notes In Control And Information Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2011-12-09 |
| Number of pages | 356 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |