This document contains 13 examples of exercises related to control systems. The examples involve tasks such as deriving state space models, bringing feedback control systems into generalized standard form, designing controllers, computing norms, and parametrizing stabilizing controllers. The examples cover topics including disturbance decoupling, observer design, state feedback, and coprime factorizations.
Gamma Function mathematics and history.
Please send comments and suggestions for improvements to solo.hermelin@gmail.com. Thanks.
More presentations on different subjects can be found on my website at http://www.solohermelin.com.
Equation of motion of a variable mass system3Solo Hermelin
This is the third of three presentations (self content) for derivation of equations of motions of a variable mass system containing moving solids (rotors, pistons,..) and elastic parts. It uses the Lagrangian approach. It is recommended to see the first presentation before this one. Each presentation uses a different method of derivation..
This is the more difficult of the three presentations.
The presentation is at undergraduate (physics, engineering) level.
Please sent comments for improvements to solo.hermelin@gmail.com. Thanks!
For more presentations on different subjects please visit my website at http://www.solohermelin.com
This presentation is intended for undergraduate students in physics and engineering.
Please send comments to solo.hermelin@gmail.com.
For more presentations on different subjects please visit my homepage at http://www.solohermelin.com.
This presentation is in the Physics folder.
In this paper, optimal control problem for processes represented by stochastic sequential machine is
analyzed. Principle of optimality is proven for the considered problem. Then by using method of dynamical
programming, solution of optimal control problem is found.
Response Surface in Tensor Train format for Uncertainty QuantificationAlexander Litvinenko
We apply low-rank Tensor Train format to solve PDEs with uncertain coefficients. First, we approximate uncertain permeability coefficient in TT format, then the operator and then apply iterations to solve stochastic Galerkin system.
Equation of motion of a variable mass system1Solo Hermelin
This is the first of three presentations (the easiest one) for derivation of equations of motions of a variable mass system containing moving solids (rotors, pistons,..) and elastic parts. Each presentation uses a different method of derivation.
The presentation is at undergraduate (physics, engineering) level.
Please sent comments for improvements to solo.hermelin@gmail.com. Thanks!
For more presentations on different subjects please visit my website at http://www.solohermelin.com.
To give the complete list of Uq(sl2)-actions of the quantum plane, we first obtain the structure of quantum plane automorphisms. Then we introduce some special symbolic matrices to classify the series of actions using the weights. There are uncountably many isomorphism classes of the symmetries. We give the classical limit of the above actions.
Identification of the Mathematical Models of Complex Relaxation Processes in ...Vladimir Bakhrushin
The approach to solving the problem of complex relaxation spectra is presented.
Presentation for the XI International Conference on Defect interaction and anelastic phenomena in solids. Tula, 2007.
Rotation in 3d Space: Euler Angles, Quaternions, Marix DescriptionsSolo Hermelin
Mathematics of rotation in 3d space, a lecture that I've prepared.
This presentation is at a Undergraduate in Science (Math, Physics, Engineering) level.
Please send comments and suggestions to solo.hermelin@gmail.com. Thanks!
Fore more presentations, please visit my website at
http://www.solohermelin.com/
The Controller Design For Linear System: A State Space ApproachYang Hong
The controllers have been widely used in many industrial processes. The goal of accomplishing a practical control system design is to meet the functional requirements and achieve a satisfactory system performance. We will introduce the design method of the state feedback controller, the state observer and the servo controller with optimal control law for a linear system in this paper.
Gamma Function mathematics and history.
Please send comments and suggestions for improvements to solo.hermelin@gmail.com. Thanks.
More presentations on different subjects can be found on my website at http://www.solohermelin.com.
Equation of motion of a variable mass system3Solo Hermelin
This is the third of three presentations (self content) for derivation of equations of motions of a variable mass system containing moving solids (rotors, pistons,..) and elastic parts. It uses the Lagrangian approach. It is recommended to see the first presentation before this one. Each presentation uses a different method of derivation..
This is the more difficult of the three presentations.
The presentation is at undergraduate (physics, engineering) level.
Please sent comments for improvements to solo.hermelin@gmail.com. Thanks!
For more presentations on different subjects please visit my website at http://www.solohermelin.com
This presentation is intended for undergraduate students in physics and engineering.
Please send comments to solo.hermelin@gmail.com.
For more presentations on different subjects please visit my homepage at http://www.solohermelin.com.
This presentation is in the Physics folder.
In this paper, optimal control problem for processes represented by stochastic sequential machine is
analyzed. Principle of optimality is proven for the considered problem. Then by using method of dynamical
programming, solution of optimal control problem is found.
Response Surface in Tensor Train format for Uncertainty QuantificationAlexander Litvinenko
We apply low-rank Tensor Train format to solve PDEs with uncertain coefficients. First, we approximate uncertain permeability coefficient in TT format, then the operator and then apply iterations to solve stochastic Galerkin system.
Equation of motion of a variable mass system1Solo Hermelin
This is the first of three presentations (the easiest one) for derivation of equations of motions of a variable mass system containing moving solids (rotors, pistons,..) and elastic parts. Each presentation uses a different method of derivation.
The presentation is at undergraduate (physics, engineering) level.
Please sent comments for improvements to solo.hermelin@gmail.com. Thanks!
For more presentations on different subjects please visit my website at http://www.solohermelin.com.
To give the complete list of Uq(sl2)-actions of the quantum plane, we first obtain the structure of quantum plane automorphisms. Then we introduce some special symbolic matrices to classify the series of actions using the weights. There are uncountably many isomorphism classes of the symmetries. We give the classical limit of the above actions.
Identification of the Mathematical Models of Complex Relaxation Processes in ...Vladimir Bakhrushin
The approach to solving the problem of complex relaxation spectra is presented.
Presentation for the XI International Conference on Defect interaction and anelastic phenomena in solids. Tula, 2007.
Rotation in 3d Space: Euler Angles, Quaternions, Marix DescriptionsSolo Hermelin
Mathematics of rotation in 3d space, a lecture that I've prepared.
This presentation is at a Undergraduate in Science (Math, Physics, Engineering) level.
Please send comments and suggestions to solo.hermelin@gmail.com. Thanks!
Fore more presentations, please visit my website at
http://www.solohermelin.com/
The Controller Design For Linear System: A State Space ApproachYang Hong
The controllers have been widely used in many industrial processes. The goal of accomplishing a practical control system design is to meet the functional requirements and achieve a satisfactory system performance. We will introduce the design method of the state feedback controller, the state observer and the servo controller with optimal control law for a linear system in this paper.
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The Design of Reduced Order Controllers for the Stabilization of Large Scale ...sipij
This paper investigates the design of reduced order controllers for the stabilization of large scale linear discrete-time control systems. Sufficient conditions are derived for the design of reduced order controllers by obtaining a reduced order model of the original large scale linear system using the dominant state of the system. The reduced order controllers are assumed to use only the state of the reduced order model of the original plant.
This paper studies an approximate dynamic programming (ADP) strategy of a group of nonlinear switched systems, where the external disturbances are considered. The neural network (NN) technique is regarded to estimate the unknown part of actor as well as critic to deal with the corresponding nominal system. The training technique is simul-taneously carried out based on the solution of minimizing the square error Hamilton function. The closed system’s tracking error is analyzed to converge to an attraction region of origin point with the uniformly ultimately bounded (UUB) description. The simulation results are implemented to determine the effectiveness of the ADP based controller.
I am Demi Jenkins.I love exploring new topics. Academic writing seemed an exciting option for me. After working for many years with matlabassignmentexperts.com, I have assisted many students with their assignments. I can proudly say, each student I have served is happy with the quality of the solution that I have provided. I acquired my master's from Stanford University, USA.
I am Ahmed M. I am a Signals and Systems Assignment Expert at matlabassignmentexperts.com. I hold a Master's in Matlab, from New York University, Abu Dhabi. I have been helping students with their assignments for the past 10 years. I solve assignments related to Signals and Systems.
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I am Martin J. I am a Signals and Systems Assignment Expert at matlabassignmentexperts.com. I hold a Master's in Matlab, from the University of Maryland. I have been helping students with their assignments for the past 10 years. I solve assignments related to Signals and Systems.
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5 Warning Signs Your BMW's Intelligent Battery Sensor Needs AttentionBertini's German Motors
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Experiencing difficulty opening your BMW X3's hood? This guide explores potential issues like mechanical obstruction, hood release mechanism failure, electrical problems, and emergency release malfunctions. Troubleshooting tips include basic checks, clearing obstructions, applying pressure, and using the emergency release.
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What Does the Active Steering Malfunction Warning Mean for Your BMWTanner Motors
Discover the reasons why your BMW’s Active Steering malfunction warning might come on. From electrical glitches to mechanical failures and software anomalies, addressing these promptly with professional inspection and maintenance ensures continued safety and performance on the road, maintaining the integrity of your driving experience.
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2. Example 1
Please derive the state space model of the system shown in the following figure
a
2s
1s
F
1v2v
2d 1d
c
1m2m
w1Fw2F
Figure 1 Structure diagram of a coupled car
with constant parameters denoting masses, friction coefficients (proportional to the
respective velocity), spring stiffness. The variables denote the velocity of car 1 and 2
respectively, the position, the distance between two cars, driving force, unknown
disturbance forces. Assume that the spring force is expressed by
1m ,m2
1)
1 2d ,d
c 1 2v ,v
1 2s ,s a F w1 w2F ,F
s 2F c(s s= − . It is known that is
control input, and are measured outputs. (The control objective is to keep the velocities
F
1s a 1 2v v=
and the velocity follows a given reference signal ).1v refv
Example 2
For the system in Example 1, assume that the control objective is to keep the velocities v1 =
v2 and to keep the velocity v1 following a given reference signal . A dynamic output
feedback controller controller in the form of
refv
1s
F K(s)
a
⎡ ⎤
= ⎢ ⎥
⎣ ⎦
is used in the feedback control loop. Please bring the feedback control system into the
generalized standard form.
Example 3
Given a system described by
1
3. d
d
x Ax Bu E w
y Cx Du F w
= + +
= + +
&
It is controlled by an observer based feedback controller
x r
ˆ ˆ ˆx Ax Bu L(y y)
ˆ ˆy Cx Du
ˆu F x F r
= + + −
= +
= +
&
Control goal is to make the output y to follow given reference signal r.
Please bring the feedback control system into the generalized standard form.
Example 4
Given a system as follows
rv u y
W(s) 1F (s) P(s)
−
2F (s)
It is desired that
• the plant output y should track a reference signal r, and
• the control effort is as small as possible.
Please bring the feedback control system into the generalized standard form.
Example 5
Suppose that areN(s),M(s),U(s),V(s) RH∞ transfer function matrices, both
and are right coprime factorizations. Please show that
1
N(s)M (s)−
1
U(s)V (s)−
1
M(s) O M(s) U(s)
O V(s) N(s) V(s)
−
⎡ ⎤ ⎡
⎢ ⎥ ⎢
⎣ ⎦ ⎣
⎤
⎥
⎦
is also a right coprime factorization.
2
4. Example 6
Given a linear time-invariant plant 22y G (s)u= with transfer function
22 2
1
G (s)
s
=
Please write down a parametrisation of all proper real-rational controllers u K that
stabilizes .
(s)y=
22G (s)
Example 7
Given a linear time-invariant plant y G(s)u= with transfer function
s 1
G(s)
s(s 2)
−
=
−
Please prove that every controller that stabilizes G(s) is itself unstable.
Example 8
Suppose that a PI controller
2
1
k
K(s) k
s
= +
stabilizes a linear time-invariant plant y G(s)u= with transfer function
c
G(s) , b 0, c 0
s b
= > <
−
Please verify that the above PI controller can be written in the form of the parametrization of
stabilizing controller with some Q(s) RH∞∈ .
(Hint: Find a such thatQ(s) RH∞∈ 1ˆ ˆK (Y MQ)(X NQ)−
= − + − )
Example 9
(1) Given a system as shown below
3
5. 1 2
1 11 12
2 21 22
A B B
z w
C D D
y u
C D D
⎡ ⎤
⎡ ⎤ ⎡ ⎤⎢ ⎥=⎢ ⎥ ⎢ ⎥⎢ ⎥
⎣ ⎦ ⎣ ⎦⎢ ⎥⎣ ⎦
where
[ ]
1 2
1 2
11 12 21 22
0 3 0 3
A , B , B
0 2 1 1
1 0
C 1 0 , C
0 1
D 0, D 0,D 0,D 0
−⎡ ⎤ ⎡ ⎤ ⎡
= = =⎢ ⎥ ⎢ ⎥ ⎢−⎣ ⎦ ⎣ ⎦ ⎣
⎡ ⎤
= = ⎢ ⎥
⎣ ⎦
= = = =
⎤
⎥
⎦
Please design a disturbance decoupling controller such that the closed-loop transfer function
from w to z is zero.
(2) Given a system
2
1 s 4s 2
z ws 1 (s 1)(s 2)
y u1 1
s 1 s 1
⎡ ⎤+ +
⎢ ⎥⎡ ⎤ ⎡ ⎤+ + +⎢ ⎥=⎢ ⎥ ⎢ ⎥
⎢ ⎥⎣ ⎦ ⎣ ⎦
−⎢ ⎥
+ +⎣ ⎦
Please design a disturbance decoupling controller such that the closed-loop transfer function
from w to z is zero.
Example 10
(1) Given a system:
[ ]
1 1 1
x x
0 2 1
y 1 0 x
−
u
⎡ ⎤ ⎡ ⎤
= +⎢ ⎥ ⎢ ⎥−⎣ ⎦ ⎣ ⎦
=
&
Please compute the norm of G ( .2H yu s)
(2) Given
1
G(s)
s 2
=
+
Please compute the H∞ norm of .G(s)
4
6. Example 11
Given a plant model
d
d
x Ax Bu E d
y Cx Du F d
= + +
= + +
&
where is the state vector, is the control input vector, d is the unknown disturbance
vector, is the measured output vector, are known matrices of compatible
dimensions. In order to estimate the state vector , a state observer of the following form
x u
y dA,B,E ,C,D,Fd
x
ˆ ˆ ˆx Ax Bu L(y Cx Du)= + + − −&
is used, where is the observer gain matrix to be determined.L
(1) Please derive the dynamics of the state estimation error e , where ˆe x x= − .
(2) Please write down the transfer function matrix from the unknown disturbance d to
the estimation error .
edG (s)
e
(3) Given a constant . Please show how to find the observer gain matrix L so that the
error dynamics is stable and the H
0α >
∞ -norm of is smaller thated α,G (s)
(4) Given constants and . Please show how to find the observer gain matrix so
that the following conditions are satisfied:
0α > 0δ > L
- the error dynamics is stable and the H∞ -norm of is smaller that ,edG (s) α
- the real part of all the eigenvalues of A LC− is smaller than −δ.
(5) Given a constant . Please show how to find the observer gain matrix so that the
error dynamics is stable and the generalized -norm of is smaller that .
0γ > L
2H edG (s) γ
Example 12
Given a system
x 2x u, x(0) 3
z x du
= + =
= +
&
where x is the state vector, u is the control input, z is the controlled output vector, d is a
constant number. A state feedback controller u=Kx, where the feedback gain matrix K is
constant, is used.
(1) Please find K that minimizes 2
z .
(2) Please also compute the minimal value of 2
z .
5
7. Example 13
Given a system
[ ]
[ ]
x 2x u 1 0 d
y x 0 1 d
1 0
z x u
0 1
= + +
= +
⎡ ⎤ ⎡ ⎤
= +⎢ ⎥ ⎢ ⎥
⎣ ⎦ ⎣ ⎦
&
where is the state, is the control input, is the unknown disturbance vector, is the
measured output, is the controlled output vector. In the feedback control loop, an output
feedback control law of the following form is used
x u d y
z
u K(s)y=
(1) Please find so that the -norm of , which denotes the closed-loop transfer
function matrix from to , is minimized.
K(s) 2H zdG (s)
d z
(2) Please compute the minimum value of zd 2
G (s) .
6
8. 1
I. EXTRA TASK ON 08.11.2017
A. Example α
Given the SISO System
G(s) =
1
s
find a coprime factorization with its inverse in RH∞.
II. EXTRA TASKS ON 29.11.2017
A. Example β
Given a linear time-invariant plant y = G(s)u with transfer function
G(s) =
s − 3
(s − 1)(s − 2)
please write down an observer/residual generator-based realization of controller parametrization.
B. Example γ
Given the following controller
˙xk =
1 −1
0 1
xk +
−2
1
y
u = 1 2 xk
please write down a parametrization form of all the plants that can be stabilized by the above
controller.
November 6, 2017 DRAFT
9. 2
III. EXTRA TASKS ON 31.01.2018
A. Example δ
Consider the standard feedback control loop with
y(s) = Gyu(s)u(s) = ( ˆM(s) + ˆ∆M )−1
( ˆN(s) + ˆ∆N )
where ( ˆM(s), ˆN(s)) is the left-coprime pair of the nominal system
G0 : ˙x = Ax + Bu, y = Cx.
Assume that [ ˆ∆M
ˆ∆N ] ∞ ≤ 0.1 and
K(s) = −(ˆY (s) + M(s)Q(s))( ˆX(s) − N(s)Q(s))−1
ˆY (s) = F(sI − A − BF)−1
L
ˆX(s) = C(sI − A − BF)−1
L + I
M(s) = F(sI − A − BF)−1
B + I
N(s) = (C + DF)(sI − A − BF)−1
B + D
where F, L are given and Q(s) ∈ RH∞.
(1) Please give the upper bound of
ˆX(s) − N(s)Q(s)
−(ˆY (s) + M(s)Q(s))
∞
such that the closed-loop
system is stable.
(2) Please propose a design scheme for F, L (LMI condition) such that the closed-loop is
stable when Q(s) = 0.
November 6, 2017 DRAFT
10. 3
B. Example ǫ
Given the following system:
plant:
˙x = Ax + Bu + Edd
y = Cx + Du + Fdd
observer:
˙ˆx = Aˆx + Bu + L(y − Cˆx + Du)
e = x − ˆx
˙e = ˙x − ˙ˆx
˙x − ˙ˆx = (A − LC)e + (Ed − LFd)d
Ged(s) = (sI − A + LC)−1
(Ed − LFd)
Solve the following tasks:
1) Find observer gain L s.t. Ged(s) ∞ ≤ ∞.
2) Find observer gain L s.t.
a) error dynamic is stable and Ged(s) ∞ ≤ ∞.
b) the real-part of all eigenvalues of (A-LC) is smaller then −δ.
3) Find observer gain L s.t. error dynamic is stable and generalized H2-norm of Ged(s) is
smaller than γ.
November 6, 2017 DRAFT