
Robust Stability and Convexity by Jacob Kogan
A fundamental problem in control theory is the stability of a given linear system. The design of a control system is generally based on a simplified model. The true values of the physical parameters may differ from the assumed values. This monograph addresses stability problems for linear systems with parametric uncertainty. The application of convexity techniques leads to computationally tractable stability criteria for families of characteristic functions with nonlinear dependence on the parameters. Stability results as well as stability criteria for time-delay systems with uncertainties in coefficients and delays are reported.-
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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Identification for Automotive Systems
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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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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
Kogan, Jacob: - Jacob Kogan is an Associate Professor in the Department of Mathematics and Statistics at the University of Maryland, Baltimore County. Dr. Kogan received his PhD in Mathematics from Weizmann Institute of Science, has held teaching and research positions at the University of Toronto and Purdue University. His research interests include Text and Data Mining, Optimization, Calculus of Variations, Optimal Control Theory, and Robust Stability of Control Systems. Dr. Kogan is the author of Bifurcations of Extremals in Optimal Control and Robust Stability and Convexity: An Introduction. Since 2001, he has also been affiliated with the Department of Computer Science and Electrical Engineering at UMBC. Dr. Kogan is a recipient of 2004-2005 Fulbright Fellowship to Israel. Together with Charles Nicholas of UMBC and Marc Teboulle of Tel-Aviv University he is co-editor of the volume Grouping Multidimensional Data: Recent Advances in Clustering.
| SKU | Unavailable |
| ISBN 13 | 9783540199199 |
| ISBN 10 | 3540199195 |
| Title | Robust Stability and Convexity |
| Author | Jacob Kogan |
| Series | Lecture Notes In Control And Information Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer |
| Year published | 1994-11-25 |
| Number of pages | 180 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |












































