Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

816
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
816
Linear time-invariant Systems01:23

Linear time-invariant Systems

1.0K
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
1.0K
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

388
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
388
Mason's Rule01:20

Mason's Rule

1.2K
Mason's rule is a powerful tool in control systems and signal processing. It simplifies the calculation of transfer functions from signal-flow graphs. This method leverages various elements, including loop gains, forward-path gains, and non-touching loops, to determine the transfer function efficiently.
Loop gain is determined by identifying and tracing a path from a node back to itself. This involves computing the product of branch gains along the loop. Each loop's gain is crucial for further...
1.2K
Basic Discrete Time Signals01:16

Basic Discrete Time Signals

788
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
788
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

1.3K
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Predictor-based compensators for networked control systems with stochastic delays and sampling intervals.

ISA transactions·2026
Same author

Fast embedded tube-based MPC with scaled-symmetric ADMM for high-order systems: Application to load transportation tasks with UAVs.

ISA transactions·2024
Same author

Repetitive dynamic matrix control for systems with periodic specifications.

ISA transactions·2024
Same author

A Sequential Quadratic Programming Approach for the Predictive Control of the COVID-19 Spread.

IFAC-PapersOnLine·2024
Same author

A Generalised Dynamic Matrix Control for unstable processes based on filtered predictions.

ISA transactions·2022
Same author

Predictive ESO-based control with guaranteed stability for uncertain MIMO constrained systems.

ISA transactions·2021
Same journal

Stackelberg differential game-based fuzzy adaptive hierarchical optimal control for a nonlinear system with unknown dynamics.

ISA transactions·2026
Same journal

Composite fault-tolerant predictive control strategy for PMSM demagnetization faults.

ISA transactions·2026
Same journal

Bias-compensated Q-learning for optimal tracking control under denial-of-service attacks.

ISA transactions·2026
Same journal

Motion prediction for leader manipulator of teleoperation system with large time delay based on inverse optimal control.

ISA transactions·2026
Same journal

Neural network parameter identification-based prescribed-time adaptive control for morphing glide aircraft.

ISA transactions·2026
Same journal

Nonlinear system-guided continuous-time generalization for cross-aircraft engine state monitoring.

ISA transactions·2026
See all related articles

Related Experiment Video

Updated: Mar 15, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.4K

Simplified filtered Smith predictor for MIMO processes with multiple time delays.

Tito L M Santos1, Bismark C Torrico2, Julio E Normey-Rico3

  • 1Departamento de Engenharia Elétrica, Universidade Federal da Bahia, 40210-630 BA, Brazil.

ISA Transactions
|September 19, 2016
PubMed
Summary
This summary is machine-generated.

A simplified tuning strategy for the multivariable filtered Smith predictor achieves offset-free control without explicit integral action. This method reduces design parameters and simplifies tuning for both continuous-time and discrete-time controllers.

Keywords:
Controller DesignDead-time compensatorsMIMO processesRobustness

More Related Videos

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.7K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K

Related Experiment Videos

Last Updated: Mar 15, 2026

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
09:43

Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping

Published on: March 20, 2017

10.4K
Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions
11:22

Using Three-color Single-molecule FRET to Study the Correlation of Protein Interactions

Published on: January 30, 2018

10.7K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.4K

Area of Science:

  • Control Engineering
  • Process Control

Background:

  • Multivariable systems often require complex control strategies.
  • The standard filtered Smith predictor design necessitates explicit integral action for offset-free control.

Purpose of the Study:

  • To propose a simplified tuning strategy for the multivariable filtered Smith predictor.
  • To demonstrate offset-free control without explicit integral action.

Main Methods:

  • Development of a simplified tuning approach for the filtered Smith predictor.
  • Analysis of control system performance with step references and disturbances.
  • Design of continuous-time and discrete-time controllers.

Main Results:

  • Offset-free control is achievable irrespective of primary controller poles.
  • The simplified strategy reduces design parameters and simplifies the tuning procedure.
  • Implicit integrative poles are not considered in the simplified design.

Conclusions:

  • The proposed simplified tuning strategy offers a more straightforward method for designing effective multivariable filtered Smith predictors.
  • This approach eliminates the need for explicit integral action, simplifying controller design and tuning.
  • Case studies confirm the advantages over standard methods requiring explicit integral action.