Proceedings. IEEE International Symposium on Computer Aided Control System Design
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MathML in Polynomial Toolbox for Matlab
- Trang 284-286
This paper reports on a useful application of MathML to web presentation and export/import of polynomial matrices from/to the Polynomial Toolbox for Matlab/spl trade/. Two Matlab functions are described that can be used both for high quality visualization of polynomial matrices on web and for data exchange between Polynomial Toolbox and other software packages that compute with polynomial matrices......
#Polynomials #MATLAB #Computer languages #Packaging #Algebra #XML #Displays #Cybernetics #Application software #Data visualization
New models of energy-storing electromechanical transducers
- Trang 213-217
Dynamic models of systems with electromechanical components in the form of generalized circuits allow for efficient simulation. There are software packages capable of exploiting a computer not only to solve equations representing such system models, but also to automatically formulate the equations. The server-based package DYNAST can be even used to simulate the circuit-like models assembled in a......
#Transducers #Computational modeling #Circuit simulation #Equations #Synchronous motors #Software packages #Packaging #Computer simulation #Assembly #Internet
On computing the l/sub 1/ norm of a polynomial matrix fraction
- Trang 278-283
This paper proposes a new algorithm for computing the l/sub 1/ norm of a linear MIMO system described by a polynomial matrix fraction. The algorithm follows the one proposed by Balakrishnan and Boyd (1992) with the only difference that there is no need to obtain a state space realization first. Instead, the coefficients of the polynomial matrices are used directly. The algorithm is based on two co......
#Polynomials #Tail #Vectors #State-space methods #Time invariant systems #MIMO #Upper bound
Performance/robustness limits for CAD of time-delay control systems
- Trang 163-168
The paper presents an approach of how the important relationships between the actuator, process and design parameters and robustness measures can be determined. In this decomposition method the optimal control design for two-degree of freedom time delay control systems is discussed. Using a proper CAD algorithm the graphical relationships can be plotted and the ultimate robustness limit of any con......
#Robust control #Control systems #Optimal control #Design automation #Regulators #Open loop systems #Transfer functions #Delay effects #Bandwidth #Robust stability
SLICOT system identification software and applications
- Trang 45-50
Basic algorithmic, numerical and practical issues involved in the recently developed, multivariable system identification toolbox-SLIDENT-incorporated in the Fortran 77 Subroutine Library in Control Theory (SLICOT) are described. SLIDENT provides drivers, computational routines, and Matlab or Scilab interfaces, which implement several algorithmic approaches, and use standard or fast techniques for......
#System identification #Software systems #Application software #Linear systems #Mathematical model #MIMO #Algorithms #Control theory #Computer interfaces #Data compression
Controllability analysis of multi objective control systems
- Trang 74-79
The performance requirements stated in project specifications often comprise conflicting objectives. These objectives may further be a complex mix of steady state and dynamic performance. Control devices such as solenoid actuators are often chosen purely on steady state force characteristics, due to the difficulty of appraising the conflicting and generally non-linear nature of the performance obj......
#Controllability #Control system analysis #Control systems #Actuators #Vehicle dynamics #Steady-state #Force control #Solenoids #Appraisal #Automotive applications
Designing model predictive controllers with prioritised constraints and objectives
- Trang 33-38
This paper shows how a class of objective functions can be incorporated into a prioritised, multiobjective optimisation problem, for which a solution can be obtained by solving a sequence of single-objective, constrained, convex programming problems. The objective functions considered in this paper typically arise in model predictive control (MPC) of constrained, linear systems. The framework pres......
#Predictive models #Constraint optimization #Predictive control #Linear systems #Design optimization #Functional programming #Strain control #Control systems #Design engineering #Cost function
Presentation of the linear fractional representation toolbox (LFRT)
- Trang 248-253
This paper presents a toolbox for use with MATLAB for modeling and manipulation of systems in LFT form. With this toolbox, LFT models can be built using an object-oriented approach, from a symbolic expressions or from a set of discrete values interpolated on an LFT basis. This paper presents some generalities and emphasizes LFT realization and order reduction.
#Object oriented modeling #Mathematical model #Uncertainty #MATLAB #Uncertain systems #Matrix decomposition #Aircraft #Interpolation #Stability analysis #Web pages
An information theoretic interpretation for H/sub /spl infin// entropy
- Trang 297-298
The relation between mutual information rate of system variables and system H/sub /spl infin// entropy is formulated, and an information theoretic interpretation of the minimum entropy H/sub /spl infin// control method is discussed.
#Entropy #Mutual information #Control systems #Transfer functions #Equations #Information theory #System identification #Random processes #Research and development #Density functional theory
Multiobjective design using various control techniques
- Trang 1-6
This paper discusses three different multiobjective control schemes: multiobjective PID control, multiobjective critical control and multiobjective eigenstructure assignment. The multiobjective PID control considers a set of frequency-domain performance requirements, such as gain margin, phase margin, crossover frequency and steady-state error. The multiobjective critical control addresses the rob......
#Control systems #Three-term control #Robust control #Robustness #Performance gain #Steady-state #Error correction #Uncertainty #Frequency domain analysis #Eigenvalues and eigenfunctions