Search result for State estimation Online Courses & Certifications
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State Estimation and Localization for Self-Driving Cars
by Jonathan Kelly , Steven Waslander- 4.7
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Approx. 27 hours to complete
Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. Module 0: Welcome to Course 2: State Estimation and Localization for Self-Driving Cars...
Battery State-of-Charge (SOC) Estimation
by Gregory Plett- 4.8
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Approx. 28 hours to complete
In this course, you will learn how to implement different state-of-charge estimation methods and to evaluate their relative merits. 6: Summary of "Introducing the linear KF as a state estimator" and next steps Cell SOC estimation using an extended Kalman filter 6: Introducing Octave code to initialize and control EKF for SOC estimation...
Battery State-of-Health (SOH) Estimation
by Gregory Plett- 4.8
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Approx. 23 hours to complete
In this course, you will learn how to implement different state-of-health estimation methods and to evaluate their relative merits. - Specify the tradeoffs between joint and dual estimation of state and parameters, and steps that must be taken to ensure robust estimates (honors) A Kalman-filter approach to total capacity estimation 1: Deriving SPKF method for parameter estimation...
Robotics: Capstone
by Sid Deliwala- 4.6
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Approx. 26 hours to complete
2 EKF for Scalar Attitude Estimation AR Track: An Extended Kalman Filter for State Estimation 2 An Extended Kalman Filter for State Estimation 2 EKF for Scalar Attitude Estimation...
Model-Based Automotive Systems Engineering
by Jonas Fredriksson- 0.0
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7 Weeks
You will learn the basics of mathematical modeling applied to automotive systems, and based on the modeling framework different type of controller and state estimation methods will be introduced and applied. Design discrete time state feedback controllers To design and analyze observers and apply them for state estimation...
$249
Autonomous Navigation for Flying Robots
by Jürgen Sturm , Daniel Cremers , Christian Kerl- 0.0
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4 Weeks
probabilistic state estimation, Explain the principles of Bayesian state estimation Implement and apply a PID controller for state control, and to fine tune its parameters Understand and explain the principles of visual motion estimation and 3D mapping...
$50
Prediction and Control with Function Approximation
by Martha White , Adam White- 4.8
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Approx. 22 hours to complete
In this course, you will learn how to solve problems with large, high-dimensional, and potentially infinite state spaces. -Implement TD with function approximation (state aggregation), on an environment with an infinite state space (continuous state space) -Implement TD with neural network function approximation in a continuous state environment -Implement a policy gradient method (called Actor-Critic) on a discrete state environment...
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Lithium Ion Battery and Battery Management System for an EV
by Ritul Shah- 3.6
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5.5 hours on-demand video
It covers Cell balancing, State of Charge estimation....
$11.99
Cyber-Physical Systems: Modeling and Simulation
by Ricardo Sanfelice- 4.6
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Approx. 13 hours to complete
The main focus is on models of physical process, finite state machines, computation, converters between physical and cyber variables, and digital networks. Modeling Cyber Components: Finite State Machines, Computations, Algorithms, and a First CPS Model Simulation of a Finite State Machine Simulation of a Finite State Machine to Control the Temperature of a Room...
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
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Approx. 66 hours to complete
The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models. Parameter Estimation in Bayesian Networks Maximum Likelihood Estimation Maximum Likelihood Estimation for Bayesian Networks Bayesian Estimation Bayesian Estimation for Bayesian Networks MAP Estimation for MRFs and CRFs Parameter Estimation in MNs...
