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11. Classification | AI using Python
Data, Control, and Mathematics
548 подписчиков
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59 видео с канала:
Data, Control, and Mathematics
11. Classification | AI using Python
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10. Multivariate Regression | AI using Python
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9. Neural Network Regression | AI using Python
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8. Activation functions | AI using Python
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7. Neural Network | AI using Python
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6. Logistic Regression | AI using Python
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5. Polynomial Regression | AI using Python
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4. Linear Regression | AI using Python
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3. Regression | AI using Python
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2. Introduction to Python | AI using Python
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1. Introduction to AI | AI using Python
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10: Further topics
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9: Nested r - Sliding Controller | Sliding Mode Control
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8: Suboptimal Controller | Sliding Mode Control
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7: Twisting Controller | Sliding Mode Control
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6: Introduction to Higher Order SMC | Sliding Mode Control
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5: Chattering | Sliding Mode Control
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4: First order SMC - Generalizations | Sliding Mode Control
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3: First order SMC of Linear Systems | Sliding Mode Control
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2: First order SMC - Examples | Sliding Mode Control
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1: Introduction to First-order SMC | Sliding Mode Control
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1: Introduction and Preliminaries
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Control of Mechanical Systems, Lecture 5: Control of Simple Pendulum
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Control of Mechanical Systems, Lecture 4: Control of AC motors
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Control of Mechanical Systems, Lecture 3: Control of DC motors
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Control of Mechanical Systems, Lecture 2: Mathematical modeling
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Control of Mechanical Systems, Lecture 1: Introduction
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4: Analysis of DC-DC Converters
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8: Constraint LQR
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7: Discrete LQR - Simulation
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6: Discrete LQR - Steady state analysis
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5: Discrete LQR derivation
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4: Continuous LQR - Simulation
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3: Continuous LQR - Steady state analysis
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2: Continuous LQR derivation
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10: Further topics
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3: Modeling of Rectifiers and Inverters
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2: Modeling of DC-DC Converters
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1: Introduction
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9: Kalman estimator - Steady state analysis
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1: Introduction
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8: Kalman smoother - Simulation
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7: Kalman smoother derivation
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6: Kalman filter - Simulation
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5: Kalman filter derivation
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4: Kalman predictor - Simulation
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3: Kalman predictor derivation
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2: Mathematical Preliminaries
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1: Introduction
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10: Further topics
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1: Introduction and Preliminaries
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5: LMPC - Setpoint tracking
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4: LMPC - Reducing Online Computation
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9: Feasibility, Stability and Optimality
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8: NMPC - Setpoint tracking
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7: NMPC - Simulation Results
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6: Nonlinear MPC (NMPC)
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3: LMPC - Simulation Results
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2: Linear MPC (LMPC)
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Канал: Data, Control, and Mathematics
11. Classification | AI using Python
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10. Multivariate Regression | AI using Python
Скачать
9. Neural Network Regression | AI using Python
Скачать
8. Activation functions | AI using Python
Скачать
7. Neural Network | AI using Python
Скачать
6. Logistic Regression | AI using Python
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5. Polynomial Regression | AI using Python
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4. Linear Regression | AI using Python
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3. Regression | AI using Python
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2. Introduction to Python | AI using Python
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1. Introduction to AI | AI using Python
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10: Further topics
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9: Nested r - Sliding Controller | Sliding Mode Control
Скачать
8: Suboptimal Controller | Sliding Mode Control
Скачать
7: Twisting Controller | Sliding Mode Control
Скачать
6: Introduction to Higher Order SMC | Sliding Mode Control
Скачать
5: Chattering | Sliding Mode Control
Скачать
4: First order SMC - Generalizations | Sliding Mode Control
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3: First order SMC of Linear Systems | Sliding Mode Control
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2: First order SMC - Examples | Sliding Mode Control
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1: Introduction to First-order SMC | Sliding Mode Control
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1: Introduction and Preliminaries
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Control of Mechanical Systems, Lecture 5: Control of Simple Pendulum
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Control of Mechanical Systems, Lecture 4: Control of AC motors
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Control of Mechanical Systems, Lecture 3: Control of DC motors
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Control of Mechanical Systems, Lecture 2: Mathematical modeling
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Control of Mechanical Systems, Lecture 1: Introduction
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4: Analysis of DC-DC Converters
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8: Constraint LQR
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7: Discrete LQR - Simulation
Скачать
6: Discrete LQR - Steady state analysis
Скачать
5: Discrete LQR derivation
Скачать
4: Continuous LQR - Simulation
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3: Continuous LQR - Steady state analysis
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2: Continuous LQR derivation
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10: Further topics
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3: Modeling of Rectifiers and Inverters
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2: Modeling of DC-DC Converters
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1: Introduction
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9: Kalman estimator - Steady state analysis
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1: Introduction
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8: Kalman smoother - Simulation
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7: Kalman smoother derivation
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6: Kalman filter - Simulation
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5: Kalman filter derivation
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4: Kalman predictor - Simulation
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3: Kalman predictor derivation
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2: Mathematical Preliminaries
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1: Introduction
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10: Further topics
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1: Introduction and Preliminaries
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5: LMPC - Setpoint tracking
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4: LMPC - Reducing Online Computation
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9: Feasibility, Stability and Optimality
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8: NMPC - Setpoint tracking
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7: NMPC - Simulation Results
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6: Nonlinear MPC (NMPC)
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3: LMPC - Simulation Results
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2: Linear MPC (LMPC)
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