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Advanced Textbooks in Control and Signal Processing

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Foundations of Robotics
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Control of Multi-agent Systems: Theory and Simulations with Python
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Power Electronic Converters Modeling and Control: with Case Studies
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Analysis and Design of Control Laws for Advanced Driver-Assistance Systems: Theory and Applications
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Robust and Adaptive Control: With Aerospace Applications
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Statistical Signal Processing: Modelling And Estimation
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Model Predictive Control: Classical, Robust and Stochastic
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Digital Self-tuning Controllers: Algorithms, Implementation and Applications
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Automatic Control with Experiments
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Analysis and Control of Nonlinear Process Systems
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Discrete-time Stochastic Systems: Estimation and Control
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Robotics: Modelling, Planning and Control
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Principles of Adaptive Filters and Self-learning Systems
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Neural Networks For Modelling And Control Of Dynamic Systems: A Practitioner's Handbook
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Hybrid Dynamical Systems: Fundamentals And Methods
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Model-Reference Adaptive Control: A Primer
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Receding Horizon Control: Model Predictive Control for State Models
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Multivariable Control Systems: An Engineering Approach
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Robust and Adaptive Control: With Aerospace Applications
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Analysis and Design of Control Laws for Advanced Driver-Assistance Systems: Theory and Applications
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