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Echo State Networks
A Practical Guide to Applying Echo State Networks 1 The Basic Model ESNs are applied to supervised temporal ML tasks wh... -
Kronecker Product
Kronecker Product（克罗内克积） The Kronecker product is an operation that transforms two matrices into a larger matrix that cont... -
Sum Rule, Product Rule, Bayes' Theorem, and Gaussian Distribution
Sum Rule, Product Rule, and Bayes' Theorem is the joint distribution of the two random variables . The distributions an... -
Gaussian Mixture Regression-Code
Handbook of Robotics Chapter 59: Robot Programming by Demonstration A dataset is defined by observations of sensory ... -
Gaussian Mixture Model and Expectation-Maximization Algorithm- Code
Gaussian Mixture Models In this notebook, we will look at density modeling with Gaussian mixture models (GMMs). In Gaussian... -
Lyapunov Stability
Lyapunov Stability Autonomous System Consider the autonomous system where is a locally Lipschitz map from a domain into... -
Concurrent learning for convergence in adaptive control without persistency of excitation
Chowdhary, G., & Johnson, E. (2010, December). Concurrent learning for convergence in adaptive control without persist... -
A singular value maximizing data recording algorithm for concurrent learning
Chowdhary, G., & Johnson, E. (2011, June). A singular value maximizing data recording algorithm for concurrent learnin... -
Approximate Model Inversion (AMI) Based MRAC
1 Approximate Model Inversion (AMI) Based MRAC Plant: Design a control law such that the plant tracks the reference mode... -
Reproducing kernel Hilbert space approach for the online update of radial bases in neuro-adaptive control
Kingravi, H. A., Chowdhary, G., Vela, P. A., & Johnson, E. N. (2012). Reproducing kernel Hilbert space approach for th...
What Doesn't Kill You Makes You Stronger.