Radial basis function (RBF) network adaptive power system stabilizer

[IEEE 1997 IEEE International Conference

[IEEE 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation - Orlando, FL, USA (12-15 Oct. 1997)] 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation - Orthogonal least squares learning algorithm based radial basis function (RBF) network adaptive power system stabilizer

✍ Kothari, M.L.; Madnani, S.; Segal, R. 📂 Article 📅 1997 🏛 IEEE ⚖ 447 KB

Radial Basis Function (RBF) Neural Netwo

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems || Adaptive RBF Neural Network Control

✍ Liu, Jinkun 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 589 KB

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design metho

99/03170 Adaptive tuning of power system

99/03170 Adaptive tuning of power system stabilizers using radial basis function networks

📂 Article 📅 1999 🏛 Elsevier Science ⚖ 202 KB

Radial Basis Function (RBF) Neural Netwo

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems || Adaptive RBF Control Based on Global Approximation

✍ Liu, Jinkun 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 924 KB

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design metho

Radial Basis Function (RBF) Neural Netwo

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems || Digital RBF Neural Network Control

✍ Liu, Jinkun 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 306 KB

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design metho

Radial Basis Function (RBF) Neural Netwo

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems || Adaptive RBF Observer Design and Sliding Mode Control

✍ Liu, Jinkun 📂 Article 📅 2012 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 468 KB

Radial Basis Function (RBF) Neural Network Control for Mechanical Systems is motivated by the need for systematic design approaches to stable adaptive control system design using neural network approximation-based techniques. The main objectives of the book are to introduce the concrete design metho