Results 31 to 40 of about 9,248,475 (299)
Controller Design for Linear Multivariable Systems
A method of designing controllers for multivariable systems is described which regards the problem from an implicit reference model point of view. The rules for the design are found to be very simple to apply and involve only proportional and integral ...
P H Walker, J W Green
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FUZZY CONTROL FOR MULTIVARIABLE SYSTEMS
Abstract In this paper a fuzzy control algorithm for regulator control of multivariable systems based on a state space model of the system is introduced. Its application to several linear systems is illustrated and compared with systems controlled by means of linear feedback laws as obtained via an INA-design or linear output feedback.
A. Shakouri +3 more
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Maximally Robust Controllers for Multivariable Systems [PDF]
The problem of designing an internal stabilizing controller \(K\) which stabilizes \(G\) and \(G+\Delta\) for all \(\Delta\)'s with \(\|\Delta\|< r\) is a deeply studied problem, and it is well known how to design \(K\) and what is the largest radius \(r\). The authors show that there is a worst case direction in the maximal ball of uncertainties, i.e.,
Gungah, SK, Halikias, GD, Jaimoukha, IM
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Nonlinear Identification for Control by Using NARMAX Models
The identification (and control) of nonlinear systems is one of the most important and actual research directions. Moreover, many systems are multivariable.
Dan Stefanoiu +3 more
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Predictive control of multivariable time-delay systems
In technical practice often occur multivariable processes with time delay. Time-delays are mainly caused by the time required to transport mass, energy or information, but they can also be caused by processing time or accumulation.
Marek Kubalcik, Vladimir Bobal
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Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems
This paper studies the parameter identification problems for multivariable output-error-like systems with colored noises. Based on the hierarchical identification principle, the original system is decomposed into several subsystems.
Hao Ma +6 more
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Phase Transition of Multivariate Polynomial Systems [PDF]
A random multivariate polynomial system with more equations than variables is likely to be unsolvable. On the other hand, if there are more variables than equations, the system has at least one solution with high probability. In this paper we study in detail the phase transition between these two regimes, which occurs when the number of equations ...
Giordano Fusco, Eric Bach 0001
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SQUEEZING IN MULTIVARIATE SPIN SYSTEMS [PDF]
In contrast to the canonically conjugate variates q, p representing the position and momentum of a particle in the phase space distributions, the three Cartesian components, Jx, Jy, Jz of a spin-j system constitute the mutually non-commuting variates in the quasi-probabilistic spin distributions.
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Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source
Real-Time Experimental Benchmarking of Control Strategies for a Coupled 2-DOF Helicopter
This paper presents a real-time experimental comparison of four control strategies—PID, Fractional-Order PID (FOPID), Fuzzy PID/PD, and Model-Free Control (MFC)—applied to trajectory tracking of a coupled 2-DOF Quanser Aero 2 helicopter.
Johny Iza +5 more
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