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Vertex Cover Kernelization
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Sphere Packing Problem
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Vertex Cover Search Trees
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Incentive Compatible Selection
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Non-approximability of Bimatrix Nash Equilibria
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Complexity of Bimatrix Nash Equilibria
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Motion Control
This Chapter will focus on the motion control of robotic rigid manipulators. In other words, this Chapter does not treat the motion control of mobile robots, flexible manipulators, and manipulat...
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Rapid Collaborative Knowledge Improvement
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Learner Preferences and Achievement
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Rapid Learning in Infants
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Seamless Learning
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High Performance Learning Spaces
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Iterative Learning Control
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Neural Networks in Bioinformatics
Over the last two decades, neural networks (NNs) gradually became one of the indispensable tools in bioinformatics. This was fueled by the development and rapid growth of numerous biological databases that sto...
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Drowsy Driver Posture, Facial, and Eye Monitoring Methods
This chapter presents a real-time computer vision system for monitoring drowsy driver. It uses one remotely located charge coupled device (CCD) camera to acquire video of the driver’s face. From the video, var...
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Sampled-Data \(\mathcal{H}_{\infty }\) Optimization
\(\mathcal{H}_{\infty }\) optimization is central in robust control. When controllers are implemented by computers, sampled-data control systems arise. Designing
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Rigid Registration
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H2 Optimal Control
An optimization-based approach to linear feedback control system design uses the H2 norm, or energy of the impulse response, to quantify closed-loop performance. In this entry, an overview of state-space methods ...
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Sampled-Data H-Infinity Optimization
ℋ ∞ optimization is central in robust control. When controllers are implemented by computers, sampled-data control systems arise. Designing ℋ ∞ -optima...
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Living Reference Work Entry In depth
Complexity of Bimatrix Nash Equilibria