Anirudh Nath

19 Questions 18 Answers 0 Followers

Questions related from Anirudh Nath

How to design Model Predictive Control for Uncertain Nonlinear System with input delay?

Suppose we have a nonlinear system: x_dot=A x + B u(t-T) + phi(x) + d(t) y=Cx where x:state, u:control input, d:exogenous disturbance (bounded), phi(x): nonlinear vector (satisfy local...

25 June 2019 6,989 3 View

How to design state-feedback controller via LMI for a system that have a constant vector?

I have a system in state-space as: x_dot = A x +b u + E; y=Cx where E is a constant vector. Q/ How to design state-feedback in LMI frame work for the above system? Normal Case: E=0; Standard...

02 September 2017 2,634 5 View

How to solve fractional-order differential equations with time-delay system in Matlab?

Dtqx=a(y-x) Dtqy=rx-y-xz Dtqz=xy-bz(t-tau) a,b and r are constants, q is the order (0

21 August 2017 1,531 14 View

How to do identification of a open-loop stable system using neural network ?

I need to identify a system which is open-loop stable. Now if I want to identify it using neural network,would I need to make the system close-loop stable for collecting the input-output data points ?

11 August 2017 8,197 1 View

How to design nonlinear observer for a nonlinear system with disturbance input?

Suppose we have a lipschitz nonlinear system with a disturbance input. The disturbance is of decaying exponential like nature with an upper bound known. System: x_dot = f(x) + g(x)u(t) +...

26 April 2017 8,673 4 View

How can avoid undershoot(negative peak) in control signal of linear/nonlinear controller ?

I have a nonlinear system with order 5. I have designed linear or nonlinear control algorithms for the systems. The input of the system have to be a positive signal and should have some upper...

08 April 2017 4,469 6 View

What are the advantages of transforming a system to Brunovsky Canonical form?

If we have a 5th order system and we have transformed it into a LTI state space representation in Brunovsky form where we have a chain of four integrators, then what will be the advantages for...

30 March 2017 8,880 3 View

What is the theory of asymptotic output tracking of a nonlinear system using feedback linearization?

I have 5th order nonlinear system of relative degree 5. That is, for feedback linearization this system is completely feedback linearizable where the input-output feedback linearization is...

29 March 2017 9,163 3 View

How can we introduce intra patient variability in the model of type 1 diabetes?

Since parameters like insulin sensitivity vary within a day of for the same Type 1 Diabetic patient, it is meaningful to introduce these concepts in the parameters of the mathematical models. Can...

18 January 2017 2,530 3 View

How to convert the system into Generalized Controller Canonical Form?

dx1/dt = -x1.x3 + k12.x2 + EGP0(1 - x5) - F - Fr + u1 dx2/dt = x1.x3 - k12.x2 - x2.x4 dx3/dt = -ka1.x3 + kb1.x6 dx4/dt = -ka1.x4 + kb1.x6 dx5/dt = -ka1.x5 + kb1.x6 dx6/dt = -ke.x6 + ki.x7 dx7/dt =...

04 November 2016 5,289 6 View

How to perform model order reduction for a single input multiple output (SIMO) system with 6 state variables?

The system is described by: dx1/dt = -ka1.x1 + kb1.x4 dx2/dt = -ka1.x2 + kb1.x4 dx3/dt = -ka1.x3 + kb1.x4 dx4/dt = -ke.x4 + ki.x5 dx5/dt = -ki.x5 + ki.x6 dx6/dt = -ki.x6 + u state variables: [x1...

01 November 2016 9,453 8 View

What is the basal plasma insulin concentration of a typical Type 1 Diabetic Patient?

The insulin secretion in the body of a Type 1 Diabetic is impaired/absent. Is there any insulin secretion in the body for a typical Type 1 Diabetic Patient? If yes then what is the level (typical...

28 October 2016 5,768 3 View

How to perform system identification of a SISO system which has an disturbance input?

I have a nonlinear system with single input and single output. It has a disturbance input. I have input-output data of the system. How to perform system identification of this system?

05 October 2016 363 3 View

How do I estimate the parameters of an nonlinear model (ODE) using an in-out data from another model for the same system using ANN (Neural Network)?

An already established model for a given system described by nonlinear differential equations have 8 state variables. I have collected the input-output data from the standard model. Now, I have...

09 August 2016 322 5 View

How do I perform batch training of Artificial Neural Network in Matlab?

I have input-output data for a nonlinear systems described in terms of differential equations. Now, I want to estimate the parameters of the differential equation through neural network. I am...

05 August 2016 8,641 2 View

How to reduce non-linear state space model of high relative degree?

A system is described by a set of 8 non-linear ordinary differential equations with known disturbance profile and some dis-continuous functions. The state space is given as follows: dx1/dt =...

17 June 2016 4,272 2 View

Is it justified to consider the value of parameter p1 in Bergman Minimal Model for Type 1 Diabetes equal to zero for simulation?

The IVGTT Bergman minimal model is given by: dG(t)/dt = - p1(G(t) - Gb) - XG + DdX(t)/dt = - p2.X(t) + p3 (I(t) - Ib)dI(t)/dt = - n(I(t) - Ib) dD(t)/dt = - BD(t) Q1/ For Type 1 diabetic patient,...

09 April 2016 3,530 0 View

Like Wiener Model (which is a class of non-linear block oriented model) what are other methods that decompose the input-output relationships ?

With Wiener model it is possible to decompose the input-output relationship into two inter-connected blocks where the dynamics are represented by a linear dynamic block (linear system) and the...

17 October 2015 8,127 6 View

What are the different control schemes for disturbance rejection in case of known disturbance profile?

any other control technique other than feed forward strategy

17 October 2015 1,534 13 View