Intelligent Systems and Control

Video Lectures

Displaying all 36 video lectures.
Lecture 1
Introduction to the Course
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Introduction to the Course
In this video lecture, Prof. Laxmidhar Behera gives an introduction to this course.
Lecture 2
Linear Neural Networks
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Linear Neural Networks
In this video lecture, Prof. Laxmidhar Behera lectures on Linear Neural Networks.
Lecture 3
Multilayered Neural Networks
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Multilayered Neural Networks
In this video lecture, Prof. Laxmidhar Behera lectures on Multilayered Neural Networks. He will also provide a revision of the previous lesson and lecture on Multilayer Feed-forward Network, Back Propagation Learning Algorithm and XOR Map.
Lecture 4
Back Propagation Algorithm Revisited
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Back Propagation Algorithm Revisited
In this video lecture, Prof. Laxmidhar Behera will review Back Propagation Algorithm, and later he will lecture on Generalized Delta Rule, System Identification and introduce Momentum in Back Propagation.
Lecture 5
Non Linear System Analysis I
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Non Linear System Analysis I
In this video lecture, Prof. Laxmidhar Behera lectures on Non Linear System Analysis, Linearization and Lyapunov Stability Theory.
Lecture 6
Non Linear System Analysis II
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Non Linear System Analysis II
In this video lecture, Prof. Laxmidhar Behera continues his lecture on Non Linear Systems, Linearization and the Lyapunov Stability Theory.
Lecture 7
Radial Basis Function Networks
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Radial Basis Function Networks
In this video lecture, Prof. Laxmidhar Behera lectures on Radial Basis Function Networks.
Lecture 8
Adaptive Learning Rate
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Adaptive Learning Rate
In this video lecture, Prof. Laxmidhar Behera lectures on motivation for adaptive learning rate and Training Algorithm based on Lyapunov Stability Theory.
Lecture 9
Weight Update Rules
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Weight Update Rules
In this video lecture, Prof. Laxmidhar Behera lectures on Weight Update Rules and Conventional Training Algorithms such as Gradient Descent, Newton's Method, Quasi-Newton Method and Conjugate-Gradient Method.
Lecture 10
Recurrent Networks Back Propagation Through Time
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Recurrent Networks Back Propagation Through Time
In this video lecture, Prof. Laxmidhar Behera lectures on Recurrent Networks, Back Propagation Through Time and unfolding in time.
Lecture 11
Recurrent Networks Real Time Recurrent Learning
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Recurrent Networks Real Time Recurrent Learning
In this video lecture, Prof. Laxmidhar Behera lectures on Recurrent Networks, BPTT Algorithm and System Identification.
Lecture 12
Self Organizing Map - Multidimensional Networks
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Self Organizing Map - Multidimensional Networks
In this video lecture, Prof. Laxmidhar Behera lectures on Multidimensional Networks, Self Organizing Map, SOM Learning Algorithm and Visual-Motor Coordinator.
Lecture 13
Fuzzy Sets A Primer
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Fuzzy Sets A Primer
In this video lecture, Prof. Laxmidhar Behera gives a brief review of Conventional Sets, an introduction to Fuzzy Sets, Membership Functions and Operations on Fuzzy Sets.
Lecture 14
Fuzzy Relations
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Fuzzy Relations
In this video lecture, Prof. Laxmidhar Behera lectures on Extension Principle of Fuzzy Sets, Fuzzy Relations, Cylindrical Extension of Fuzzy Relations and Fuzzy Max-Min and Max-Product Composition Operation.
Lecture 15
Fuzzy Rule Base and Approximate Reasoning
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Fuzzy Rule Base and Approximate Reasoning
In this video lecture, Prof. Laxmidhar Behera lectures on Fuzzy Rule-base, Fuzzy Implication Relations, Fuzzy Composition Rules, Discrete Fuzzy Sets and Linguistic Variables.
Lecture 16
Introduction to Fuzzy Logic Control
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Introduction to Fuzzy Logic Control
In this video lecture, Prof. Laxmidhar Behera lectures on Fuzzy Control, Typical Fuzzy Control Systems, Classical, Fuzzy PID Controller and T-S Fuzzy Model.
Lecture 17
Rule Based Systems II
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Rule Based Systems II
In this video lecture, Prof. Anupam Basu continues his lecture on Rule Based Systems.
Lecture 17
Network Inversion and Control
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Network Inversion and Control
In this video lecture, Prof. Laxmidhar Behera lectures on Network Inversion and Control.
Lecture 18
Neural Control Review
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Neural Control Review
In this video lecture, Prof. Laxmidhar Behera provides a review for Neural Control. He also teaches Adaptive Control Paradigms (Direct and Indirect), Nonlinear Systems and Neural Network Models.
Lecture 18
Semantic Net
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Semantic Net
In this video lecture, Prof. Anupam Basu lectures on Semantic Net.
Lecture 19
Network Inversion and Control
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Network Inversion and Control
In this video lecture, Prof. Laxmidhar Behera lectures on Network Inversion (using Gradient Descent, Lyapunov function and EKF) Control and System Identification Using a Feed-forward Network.
Lecture 19
Reasoning in Semantic Net
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Reasoning in Semantic Net
In this video lecture, Prof. Anupam Basu lectures on Reasoning in Semantic Net.
Lecture 20
Neural Model of a Robot Manipulator
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Neural Model of a Robot Manipulator
In this video lecture, Prof. Laxmidhar Behera lectures on Neural Model of a Robot Manipulator, Generation of Data, Query Based Learning.
Lecture 21
Indirect Adaptive Control of a Robot Manipulator
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Indirect Adaptive Control of a Robot Manipulator
In this video lecture, Prof. Laxmidhar Behera lectures on Indirect Adaptive Control of a Robot Manipulator, System Identification Using a Feed-forward Network, Forward-Inverse Modeling and approach.
Lecture 22
Adaptive Neural Control for Affine Systems SISO
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Adaptive Neural Control for Affine Systems SISO
In this video lecture, Prof. Laxmidhar Behera lectures on Adaptive Neural Control for Affine Systems SISO.
Lecture 23
Adaptive Neural Control for Affine Systems MIMO
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Adaptive Neural Control for Affine Systems MIMO
In this video lecture, Prof. Laxmidhar Behera lectures on Adaptive Neural Control for Affine Systems MIMO.
Lecture 24
Visual Motor Coordination with KSOM
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Visual Motor Coordination with KSOM
In this video lecture, Prof. Laxmidhar Behera lectures on Visual Motor Coordination with KSOM.
Lecture 25
Visual Motor Coordination Using Quantum Clustering
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Visual Motor Coordination Using Quantum Clustering
In this video lecture, Prof. Laxmidhar Behera lectures on Visual Motor Coordination, Quantum Clustering, Motivation and Algorithm.
Lecture 26
Direct Adaptive Control of Manipulators: Introduction
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Direct Adaptive Control of Manipulators: Introduction
In this video lecture, Prof. Laxmidhar Behera lectures Manipulator Dynamics, Direct Adaptive Control of Manipulators, Computed Torque Control, Robust Control and Neuro-adaptive Control.
Lecture 27
NN Based Back Stepping Control
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NN Based Back Stepping Control
In this video lecture, Prof. Laxmidhar Behera lectures on NN Based Adaptive Control, Lyapunov Based Design, Backstepping Method, Backstepping Control Design Using NN, Simulation and Rigid-Link Electrically-driven Manipulator.
Lecture 28
Fuzzy Control: A Review
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Fuzzy Control: A Review
In this video lecture, Prof. Laxmidhar Behera lectures on Fuzzy Logic Controllers, Mamdani Type, Fuzzy PD/PI/PID Controller, Fuzzy Lyapunov Controller, Parameter Optimization, Fuzzy Controller With Common Input Matrix, Fuzzy Controller Using Robust Control Approach and Fuzzy Controller Using LMI Techniques.
Lecture 29
Mamdani Type Flc and Parameter Optimization
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Mamdani Type Flc and Parameter Optimization
In this video lecture, Prof. Laxmidhar Behera lectures on Basic Architecture of an FLC, Parameter Optimization, Genetic Algorithm, FLC for a Single Link Manipulator, Univariate Marginal Distribution Algorithm and Robot Arm Control.
Lecture 30
Fuzzy Control of a pH Reactor
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Fuzzy Control of a pH Reactor
In this video lecture, Prof. Laxmidhar Behera lectures on pH Neutralization Process, Simple Genetic Algorithm Using Smooth Search, Differential Evolution, DE vs. SGA, DE FLC Controller and Simulation.
Lecture 31
Fuzzy Lyapunov Controller: Computing with Words
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Fuzzy Lyapunov Controller: Computing with Words
In this video lecture, Prof. Laxmidhar Behera lectures on Classical Lyapunov Synthesis, Fuzzy Lyapunov Synthesis, Rotational Proof Mass Actuator System (RTAC) and Controller Design.
Lecture 32
Controller Design for a T-S Fuzzy Model
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Controller Design for a T-S Fuzzy Model
In this video lecture, Prof. Laxmidhar Behera lectures on T-S Fuzzy Model Representation of a Non-Linear System and Controller Design.
Lecture 33
Linear Controllers Using T-S Fuzzy Model
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Linear Controllers Using T-S Fuzzy Model
In this video lecture, Prof. Laxmidhar Behera lectures on T-S Fuzzy Model Representation of a Non-Linear System, Robust Control and Stabilizing Controller Design.