MSc: Fundamentals of Robot Control - Revision history

R.sirgalina at 08:44, 29 August 2022

2022-08-29T08:44:23Z

R.sirgalina: /* Fundamentals of Robot Control */

2022-07-13T07:36:49Z

Fundamentals of Robot Control

@@ Line 3: / Line 3: @@
 * <span>'''Course name:'''</span> Fundamentals of Robot Control
 * <span>'''Course number:'''</span> F19
 == Course Characteristics ==
@@ Line 25: / Line 14: @@
 Control theory is an integral part of modern robotics, and there is a high chance that most students majoring in Robotics would face the problems of controlling a physical plant (a robot, manipulator, drone, autonomous vehicle) in their research and graduation work as well as their professional careers. Therefore, the main purpose of this course is to prepare the students for solving practical control problems by teaching the most fundamental approaches of nonlinear control used in modern robotics applications.
 == Recommendations for students on how to succeed in the course ==
@@ Line 33: / Line 33: @@
 * Kick start your numpy with the official [https://numpy.org/doc/stable/user/quickstart.html quickstart guide].
-=== Course objectives based on Bloom’s taxonomy ===
+== Course objectives based on Bloom’s taxonomy ==
 === What should a student remember at the end of the course? ===

M.petrishchev: /* Recommendations for students on how to succeed in the course */

2022-04-26T07:57:49Z

Recommendations for students on how to succeed in the course

← Older revision		Revision as of 07:57, 26 April 2022
Line 35:		Line 35:
	=== Course objectives based on Bloom’s taxonomy ===		=== Course objectives based on Bloom’s taxonomy ===

−	=== - What should a student remember at the end of the course? ===	+	=== What should a student remember at the end of the course? ===

	By the end of the course, the students should be able to remember and differentiate		By the end of the course, the students should be able to remember and differentiate
Line 46:		Line 46:
	* Basic structure of robust control system.		* Basic structure of robust control system.

−	=== - What should a student be able to understand at the end of the course? ===	+	=== What should a student be able to understand at the end of the course? ===

	By the end of the course, the students should be able to		By the end of the course, the students should be able to
Line 56:		Line 56:
	* Numerically solve differential equations in MATLAB environment.		* Numerically solve differential equations in MATLAB environment.

−	=== - What should a student be able to apply at the end of the course? ===	+	=== What should a student be able to apply at the end of the course? ===

	By the end of the course, the students should be able to ...		By the end of the course, the students should be able to ...

R.akhmetzyanov: /* Prerequisites */

2022-04-22T13:22:39Z

Prerequisites

← Older revision		Revision as of 13:22, 22 April 2022
Line 10:		Line 10:
	* Google Colab environment		* Google Colab environment
	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.		* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.
−	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I ~~and [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.~~	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I
		+	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.
	* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205] — Differential Equations: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.		* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205] — Differential Equations: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.
	* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)		* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)
−

	== Course Characteristics ==		== Course Characteristics ==

R.akhmetzyanov: /* Fundamentals of Robot Control */

2022-04-21T16:11:49Z

Fundamentals of Robot Control

@@ Line 3: / Line 3: @@
 * <span>'''Course name:'''</span> Fundamentals of Robot Control
 * <span>'''Course number:'''</span> F19
 == Course Characteristics ==
@@ Line 14: / Line 25: @@
 Control theory is an integral part of modern robotics, and there is a high chance that most students majoring in Robotics would face the problems of controlling a physical plant (a robot, manipulator, drone, autonomous vehicle) in their research and graduation work as well as their professional careers. Therefore, the main purpose of this course is to prepare the students for solving practical control problems by teaching the most fundamental approaches of nonlinear control used in modern robotics applications.
 == Recommendations for students on how to succeed in the course ==

R.akhmetzyanov: /* Prerequisites */

2022-04-21T08:00:24Z

Prerequisites

← Older revision		Revision as of 08:00, 21 April 2022
Line 17:		Line 17:
	== Prerequisites ==		== Prerequisites ==
	The course will benefit if students already know some topics of mathematics and programming.		The course will benefit if students already know some topics of mathematics and programming.
−
−	Programming:
	* python,		* python,
	* numpy library,		* numpy library,
	* Google Colab environment		* Google Colab environment
−
−	Math:
	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.		* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.
	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.		* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.

M.petrishchev: /* Prerequisites */

2022-04-21T07:02:12Z

Prerequisites

← Older revision		Revision as of 07:02, 21 April 2022
Line 25:		Line 25:
	Math:		Math:
	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.		* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.
−	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and CSE204 — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_II CSE204] — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.
	* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205] — Differential Equations: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.		* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205] — Differential Equations: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.
	* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)		* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)

M.petrishchev: /* Prerequisites */

2022-04-21T07:01:42Z

Prerequisites

← Older revision		Revision as of 07:01, 21 April 2022
Line 24:		Line 24:

	Math:		Math:
−	* CSE201 — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Mathematical_Analysis_I CSE201] — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.
−	* CSE202 — Analytical Geometry and Linear Algebra I and CSE204 — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Analytic_Geometry_And_Linear_Algebra_I1 CSE202] — Analytical Geometry and Linear Algebra I and CSE204 — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.
−	* CSE205 — Differential Equations: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.	+	* [https://eduwiki.innopolis.university/index.php/BSc:_Differential_Equations CSE205] — Differential Equations: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.
	* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)		* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)

R.akhmetzyanov: /* Prerequisites */

2022-04-19T07:16:05Z

Prerequisites

← Older revision		Revision as of 07:16, 19 April 2022
Line 24:		Line 24:

	Math:		Math:
		⚫	* CSE201 — Mathematical Analysis I and CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.
−	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI CSE201 — Mathematical Analysis I]
		⚫	* CSE202 — Analytical Geometry and Linear Algebra I and CSE204 — Analytic Geometry And Linear Algebra II: matrix multiplication, eigenvector and eigenvalue.
⚫	* ~~[https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII~~ CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.
		⚫	* CSE205 — Differential Equations: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.
−	* [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE202 — Analytical Geometry and Linear Algebra I]
⚫	* ~~[https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraII~~ CSE204 — Analytic Geometry And Linear Algebra II]: matrix multiplication, eigenvector and eigenvalue.
−
⚫	* ~~[https://eduwiki.innopolis.university/index.php/BSc:DifferentialEquations~~ CSE205 — Differential Equations]: state-space representation, homogeneous and nonhomogeneous equations, general solution of linear 1st and 2nd order ODEs, stability of solutions.
	* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)		* Linear control theory: concepts of feedback, open- and closed-loop systems, linear controllers (PD, PID)
		+
		+	== Recommendations for students on how to succeed in the course ==

	How can students fill the gap?		How can students fill the gap?

M.petrishchev: /* Prerequisites */

2022-04-14T19:59:24Z

Prerequisites

← Older revision		Revision as of 19:59, 14 April 2022
Line 21:		Line 21:
	* python,		* python,
	* numpy library,		* numpy library,
−	* Google Colab environment.	+	* Google Colab environment

		+	Math:
	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI CSE201 — Mathematical Analysis I]		* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisI CSE201 — Mathematical Analysis I]
	* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.		* [https://eduwiki.innopolis.university/index.php/BSc:MathematicalAnalysisII CSE203 — Mathematical Analysis II]: integration and differentiation, exponentials, gradient.
−
	* [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE202 — Analytical Geometry and Linear Algebra I]		* [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraI CSE202 — Analytical Geometry and Linear Algebra I]
	* [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraII CSE204 — Analytic Geometry And Linear Algebra II]: matrix multiplication, eigenvector and eigenvalue.		* [https://eduwiki.innopolis.university/index.php/BSc:AnalyticGeometryAndLinearAlgebraII CSE204 — Analytic Geometry And Linear Algebra II]: matrix multiplication, eigenvector and eigenvalue.