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Page 3902 of Mathematical Reviews Vol. , Issue 97F [page]

1997 Mathematical Reviews  
Particular areas covered include stochastic stability, nonlinear active control, nonlinear stochastic response, random material and system properties, stochastic finite elements, methods for non-Gaussian  ...  H. (4-BRNL; Uxbridge) Explicit finite-difference methods for non-linear dynamic systems: Froude’s pendulum. (English summary) Comput. Methods Appl. Mech. Engrg. 135 (1996), no. 3-4, 243-264.  ... 

Page 4284 of Mathematical Reviews Vol. , Issue 2004e [page]

2004 Mathematical Reviews  
Summary: “The dynamics are studied of nonlinear feedback loops for the set point control of Euler-Lagrange (EL) systems.  ...  Summary: “This paper presents an LQ optimal preview servo- mechanism design method for linear discrete-time systems with time-delay in the multirate control setting.  ... 

Controlling Chaos: Suppression, Synchronization and Chaotification (Zhang, H., et al; 2009) [Book Review]

Wing-kuen Ling
2011 IEEE Computational Intelligence Magazine  
An improved open-plus-nonlinear-closed-loop (OPNCL) control method is proposed so that restrictions of the OPCL control method are relaxed.  ...  Chapter 2 reviews essential mathematical backgrounds for non-linear dynamical systems and chaos.  ... 
doi:10.1109/mci.2010.939582 fatcat:gesuxi4uhffedpqscu4jvpmdpq

Control Optimization of Stochastic Systems Based on Adaptive Correction CKF Algorithm

FengJun Hu, Qian Zhang, Gang Wu
2020 International Journal of Aerospace Engineering  
adding memory factor to the filter, and the disturbance factors in nonlinear time-varying discrete stochastic systems are eliminated by multistep feedback predictive control strategy, so as to improve  ...  Firstly, a nonlinear time-varying discrete stochastic system model with stochastic disturbances is constructed.  ...  A linear output control method for discrete stochastic systems is proposed [16] .  ... 
doi:10.1155/2020/2096302 fatcat:pis26c4kzzgjvc3lwroz32c4sy

Page 7934 of Mathematical Reviews Vol. , Issue 96m [page]

1996 Mathematical Reviews  
As a result, the method proposed can be applied only to minimum phase nonlinear systems, i.e., the method re- quires stable zero dynamics.  ...  If this metric is chosen as the so-called maximum metric, the formalism of the standard fuzzy control method results.  ... 

Inverse dynamics of serial and parallel underactuated multibody systems using a DAE optimal control approach

Guaraci Bastos, Robert Seifried, Olivier Brüls
2013 Multibody system dynamics  
The existing stable inversion method proposed for general nonlinear non-minimum phase systems requires to derive explicitly the equations of the internal dynamics and to solve a boundary value problem.  ...  This paper studies the inverse dynamics of non-minimum phase underactuated multibody systems with serial and parallel planar topology, e.g. for end-effector control of flexible manipulators or manipulators  ...  Also for non-minimum phase systems nonlinear control techniques such as feedback linearization cannot be used. A detailed analysis of minimum and non-minimum phase systems can be found in [15, 18] .  ... 
doi:10.1007/s11044-013-9361-z fatcat:g2yzaeal3bdvzahm2ifira6na4

Page 5086 of Mathematical Reviews Vol. , Issue 2004f [page]

2004 Mathematical Reviews  
Summary (translated from the Russian): “We present a method for the synthesis of modal control systems for discrete and continuous objects.  ...  The control design for each linear system is simply the standard linear-quadratic regulator.  ... 

Direct digital control scheme for controlling hybrid dynamic systems using ANN state estimator and inverse dynamics controller

Xiao Laui, University of Hong Kong, China, Rui-Lain Chua
2020 International Journal of Electrical and Electronics Research  
An Estimator Based Inverse Dynamics Controller (EBIDC), which utilizes an Artificial Neural Network (ANN) based state estimation scheme for nonlinear autonomous hybrid systems which are subjected to state  ...  A salient feature of the proposed scheme is that it offers better state estimates and hence a better control of non-measurable state variables with a nonlinear approach in correcting the a priori estimates  ...  In this work a model based controller namely inverse dynamics controller (IDC) is implemented for controlling the non-measurable states of Hybrid System.  ... 
doi:10.37391/ijeer.080101 fatcat:wfeau7id2rh2tbvsyikkb4v3bu

Page 7613 of Mathematical Reviews Vol. , Issue 2001J [page]

2001 Mathematical Reviews  
In this paper, the authors study the Euler discretization of a non- linear continuous-time system.  ...  In particular, if a continuous-time system is dynamically linearizable, then its Euler discretization is dynamically linearizable, hence, it is shown that 93B Controllability, observability, and system  ... 

Scanning the Issue

2019 IEEE Transactions on Automatic Control  
In this study an improved approach to solve the regulator problem in linear discrete-time dynamic systems with non-Gaussian disturbances and quadratic cost functions is proposed.  ...  This paper deals with control synthesis for positive monotone discrete-time systems with high-level requirements given by a signal temporal logic formula in which all predicates describe lower polytopic  ...  Germani In this study an improved approach to solve the regulator problem in linear discrete-time dynamic systems with non-Gaussian disturbances and quadratic cost functions is proposed.  ... 
doi:10.1109/tac.2018.2887181 fatcat:lktaqqfywzhs3esq4khmboz57e

Page 6006 of Mathematical Reviews Vol. , Issue 2001H [page]

2001 Mathematical Reviews  
Control 45 (2000), no. 9, 1749-1755. Summary: “This paper studies the problem of adaptive control for a class of nonlinear time-varying discrete-time systems with non- parametric uncertainties.  ...  Summary: “An adaptive inverse controller is developed for feed- back linearizable nonlinear systems with nonsmooth actuator non- linearities.  ... 

Validity of Approach to Maximize the ASR of the Order Superiorly Two in Discrete Nonlinear Systems

Samia Charfeddine, Lassaad Sbita
2014 International Journal of Modern Nonlinear Theory and Application  
Additionally, the developed technique is employed for the control of the class of systems with an order higher than two; more precisely, the example of a synchronous generator featured in a strongly nonlinear  ...  In this context, a discretization method is presented. We developed a discrete control scheme based on an approximate feedback linearization method and the reversing trajectory method.  ...  The discrete Reverse Trajectory Method (RTM) is theoretically exploitable for any locally stable nonlinear system.  ... 
doi:10.4236/ijmnta.2014.33014 fatcat:rnwwhbu2rbgcdhgeljtqjzrbf4

Passivity Based Iterative Learning Control Design in the Discrete Repetitive Process Setting

Pavel Pakshin, Julia Emelianova, Milhail Emelianov, Krzysztof Galkowski, Eric Rogers
2018 2018 European Control Conference (ECC)  
Repetitive processes are important class of 2D systems with engineering applications and as a setting for iterative learning control (ILC) design.  ...  Previous research for linear dynamics has used the stability theory of linear repetitive processes to design control laws that have been experimentally verified.  ...  In the case of standard, termed 1D in the multidimensional systems literature, nonlinear systems, dissipativity theory [8] is one of the most powerful methods for control design, where a particular form  ... 
doi:10.23919/ecc.2018.8550241 dblp:conf/eucc/PakshinEEGR18 fatcat:icjvyibkeraixk447ejiwtk2xe

Page 659 of Mathematical Reviews Vol. , Issue 98A [page]

1998 Mathematical Reviews  
for discrete-time nonlinear systems.  ...  -control of discrete-time nonlinear systems. (English summary) IEEE Trans. Automat. Control 41 (1996), no. 4, 494-510.  ... 

Control Systems Engineering [chapter]

2010 Controlling Uncertainty  
In general the MPC control design problem for railway systems leads to a nonlinear non-convex optimization problem.  ...  nonlinear dynamic systems.  ... 
doi:10.1002/9781444328226.ch3 fatcat:vbg2pm3qang3ricvbfo65rlgdq
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