h¥ fuzzy controller for uncertain nonlinear dynamical systems

... non-holonomic systems with unknown dynamics Int J Robust Nonlinear Control9, 905–922 (1999) 17 Jiang, Z.-P., Nijmeijer, H.: A recursive technique for tracking control of dynamic nonholonomic systems ... 835–852 (2002) 21 Oya, M., Su, C.-Y., Katoh, R.: Robust adaptive motion/force tracking control of uncertain nonholonomic mechanical systems IEEE Trans Robot Autom 19(1), 175–181 (2003) 22 Coelho, P., ... adaptive controller for a nonholonomic mobile robot including actuator dynamics J Neurocomput.69, 2140–2151 (2006) 31 Park, B.S., Yoo, S.J., Park, J.B., Coi, Y.H.: Adaptive ouput-feedback control for...

Ngày tải lên: 12/10/2014, 08:30

... with Stable Learning 2.1 Class of Nonlinear Systems The class of uncertain nonlinear SISO systems considered throughout this chapter is governed by a set of n nonlinear ordinary differential equations ... Once the nonlinear observer and the adaptive (output based) HOSM controller have been designed, we may formulate the main result on the neuro- trackingcontrol for the class (1) of uncertain nonlinear ... and T Poznyak a high-order sliding mode controller applicable to all nonlinear systems (1) with relative degree equal to r For small relative degrees the controllers are as follows: ut = −αsign...

Ngày tải lên: 01/07/2015, 09:14

... stability result for discrete-time large-scale nonlinear dynamical systems using vector Lyapunov functions In particular, we consider discrete-time nonlinear dynamical systems of the form x(k + 1) ... large-scale nonlinear dynamical systems In this section, we extend the notion of dissipative dynamical systems to develop the generalized notion of vector dissipativity for discrete-time large-scale nonlinear ... discrete-time large-scale nonlinear dynamical systems In this section, we consider stability of feedback interconnections of discrete-time largescale nonlinear dynamical systems Specifically, for the discrete-time...

Ngày tải lên: 23/06/2014, 00:20

... state estimation for nonlinear dynamical systems and also as a basis for on-line learning algorithms for feedforward neural networks [15] and radial basis function networks [16, 17] For more details, ... linear 206 LEARNING NONLINEAR DYNAMICAL SYSTEMS USING EM dynamical systems, although the generalization to nonlinear systems of the kind described in this chapter is not straightforward Of course, ... and c k¼0 B ¼ AÀ1 ðA À I ÞBc c 178 LEARNING NONLINEAR DYNAMICAL SYSTEMS USING EM Figure 6.1 A probabilistic graphical model for stochastic dynamical systems with hidden states xk , inputs uk ,...

Ngày tải lên: 23/12/2013, 07:16

... benchmark problems for nonlinear equations systems to examine the PDS algorithm Using PC, Celeron CPU 2.20GHz, Borland C++ 3.1 We performed 30 independent runs for each problem The results for all test ... equations and apply PDS algorithm to solving nonlinear Equations System Nonlinear Equations System 4.1 The model of nonlinear equations system A general nonlinear equations system can be described ... 1, , n) where fj (1≤j≤m) are nonlinear functions 4.2 Popular approaches for solving nonlinear Equations System There are several standard known techniques to solve nonlinear equations system Some...

Ngày tải lên: 04/09/2016, 09:08

... Studies in Linear and Nonlinear Programming, Stanford University Press, Stanford, California, 1958 17 A V FIACCO, N M SMITH, AND D BLACKWELL, "A More General Method for Nonlinear Programming" ... complex, nonlinear situations THE CREATED RESPONSE SURFACE TECHNIQUE: A NEW APPROACH TO THE OPTIMIZATION OF NONLINEAR, RESTRAINED SYSTEMS A DIFFERENT approachto the generalproblemof optimizationof nonlinear, ... other hand, a general case for optimization occurs when the effectiveness function and at least some of the restraints are relatively complicated, nonlinear expressions Such nonlinear situations have...

Ngày tải lên: 15/02/2017, 15:50

... Lyapunov-like theorems for partial boundedness and partial ultimate boundedness for nonlinear dynamical systems necessary for obtaining less conservative ultimate bounds for neuroadaptive controllers as ... ecological systems, economic systems, demographic systems, telecommunications systems, and transportation systems, to cite but a few examples Due to the severe complexities, nonlinearities, and uncertainties ... macroscopic subsystems known as compartments The range of applications of nonnegative systems and compartmental systems includes pharmacological systems, queuing systems, stochastic systems whose...

Ngày tải lên: 22/06/2014, 11:20

... Lin applied type-2 fuzzy neural systems with adaptive filter to nonlinear uncertain systems[ 39] Singh and et al also proposed a type-2 fuzzy neural model based controller for a nonlinear system[85] ... extensional fuzzy theories to develop fuzzy controllers that are capable of maintaining the desired performance of uncertain or nonlinear systems and to investigate the advantages on handling uncertainties ... type-2 fuzzy PI controller in Monte Carlo uncertainty analysis 99 4.8 Histogram of ITAEs of type-2 fuzzy PI controller 100 4.9 ITAEs of type-1 fuzzy PI controller in Monte Carlo uncertainty...

Ngày tải lên: 11/09/2015, 16:04

... Sliding Mode, and Fuzzy Logic Controllers for Power Converters”, IEEE Trans on Ind Applications, Vol 33, No 2, 1997, pp 518-524 1161.C.C Lee Fuzzy Logic in Control Systems: Fuzzy Logic Controller - ... Kazmierkowski, “SelfTuned Fuzzy PI Current Controller for PWM-VSI,” in Proc.EPE’95, 1995, pp 1.308-1.313 F Cupertino, A Lattanzi, L Salvatore, “A New Fuzzy Logic-Based Controller Design Method for DC and AC ... (Fig 4) [SI All simulations are performed for parameters as shown in TABLE 11 The step-response of the id current for conventional PIcontroller (Fig 13a) and FLC controller (Fig 13b) provides tracking...

Ngày tải lên: 03/01/2014, 19:46

... Dimitrova et al.: Probabilistic polynomial dynamical systems for reverse engineering of gene regulatory networks EURASIP Journal on Bioinformatics and Systems Biology 2011 2011:1 Submit your manuscript ... method for the construction of such stochastic models In the next section, we present our method for the reverse engineering of gene regulatory networks as probabilistic polynomial dynamical systems ... expected performance of an algorithm that randomly assigns edges between a pair of genes For example, for a fully connected network, the random algorithm would have a 100% accuracy (PPV = 1) for all...

Ngày tải lên: 21/06/2014, 03:20

... class of uncertain nonlinear systems, ” Systems & Control Letters, vol 19, no 2, pp 139–149, 1992 15 Y.-Y Cao, Y.-X Sun, and C Cheng, “Delay-dependent robust stabilization of uncertain systems ... problem for chaotic neural networks with parameter mismatch was formulated via periodically intermittent control In 12 , the problem of the robust stabilization for a class of uncertain linear systems ... intermittent control problem is formulated and some notations and lemmas are introduced In Section 3, the exponential stabilization problem for a class of uncertain nonlinear systems is investigated...

Ngày tải lên: 21/06/2014, 06:20

... successful method to describe certain complex nonlinear systems using some local linear subsystems 21, 22 In 23 , a fuzzy feedback control method was proposed for chaotic synchronization and chaotic ... of fuzzy synchronization of time delayed chaotic systems is of high practical importance To the best of our knowledge, however, for the fuzzy synchronization problem of time delayed chaotic systems, ... paper is to investigate the fuzzy adaptive exponential synchronization problem for time delayed chaotic systems with unknown parameters T-S fuzzy model is adopted for the modeling of time delayed...

Ngày tải lên: 21/06/2014, 07:20

... xN = x (1) {Loop performed by a central unit at the base station} (2) for k = to N − (3) xk+1 ⇐ fk xk , uk (4) end for Algorithm 2: Decryption at base station(s) for VSN dynamical system is moved ... each round being performed by a single different node using a different key 2.4 Motivation for this paradigm There are many reasons why a dynamical systems approach is chosen for this problem Such ... security Lyapunov synthesis provides a framework for generating the shares that drive an initial state to a desired state for nonlinear dynamical systems in general We first review Lyapunov stability...

Ngày tải lên: 22/06/2014, 23:20

Ngày tải lên: 04/07/2014, 03:55

Ngày tải lên: 05/08/2014, 09:46

... a bounded sigmoid form for the total input to a node Once a network is translated to a dynamical system using Equation 3, it is necessary to specify values for all parameters For a system with ... experimentally In this paper we propose a method for generating qualitative models of regulatory networks in the form of continuous dynamical systems The method also permits the stable steady ... networks (as in [9]; for example), our method can be applied to networks for which there is a lack of stoichiometric information Indeed, the method requires as sole input the information regarding...

Ngày tải lên: 13/08/2014, 23:20

... FLC WITH NON SUM NORMAL FUZZY MEMBERSHIP 59 5.3.1 Simulink Model for Robot and Fuzzy Toolbox for Fuzzy Rules 59 5.3.2 Simulink Model for Robot and M-File for Fuzzy Rules 60 5.4 RESULTS ... variable 3.4 Fuzzy Inference Systems There are three main fuzzy logic inference systems (fuzzy logic approximators): Mamdani type, Sugeno type, and Tsukamoto type Of these Mamdani fuzzy inference ... robot in MATLAB Simulink The fuzzy logic controller was tested and fine tuned on this model, as well as compared with other controllers for optimum results 13 CHAPTER III FUZZY LOGIC The human brain...

Ngày tải lên: 26/10/2014, 14:35

... UMI Number: 3200563 UMI Microform 3200563 Copyright 2006 by ProQuest Information and Learning Company All rights reserved This microform edition is protected against unauthorized ... edition is protected against unauthorized copying under Title 17, United States Code ProQuest Information and Learning Company 300 North Zeeb Road P.O Box 1346 Ann Arbor, MI 48106-1346 ”…… † ... … geR ™ n … ˆses ‘se †‘ … ƒ …ƒ õ ˆk — nk …1k — k ˆ•i — ˆ g•˜‘÷ gi n g‘s‘ư k ‘ … lmkV‡¸7…g€hBuBh¥™l‡¸hư “”÷BT³017…gorxlr”—ĐprF哑¦Buh™›e©“‘B¦™™V“e¦ok™¦™h›r¦”˜V¸ ý gi ˜sk" †k nk … … —R ˜ ‘...

Ngày tải lên: 13/11/2014, 09:25

... (1 ) where A is detuning A t first, w e transform the equation (0 ) into standard form by means of the formulae X = csinB, X — ứcose (1-2) The transform ed equations are — = — z [ a x + a x + ... VIETNAMlCA TO M 3, N ° (1978) P aram etric oscillations of dynamical system s with cubic term at the modulation depth under the influence of nonlinear frictions N G U Y Ễ N VẰN Đ Ạ O National Institute ... 0, and the eq u atio n s (1 ) becom e for a =£ : — = — £r — A+ L r X < = E 2 r L2 ( 2 ) ( c + l, J < + — a a - — (c -f d a 2) cos2l, J and for < = — a ■* — £ — (2c + — sin2»i>,...

Ngày tải lên: 08/04/2015, 15:30

... time Great efforts were made to find controller gain ranges in terms of time delay For P control, K ( s ) = k , the necessary and sufficient condition is L < For other types of PID controllers, ... 2.1 D-graph for Example 2.1 with Kd = .15 2.2 D-graph for Example 1c with Kd in [ 0,1] 17 2.3 D-graph for Example 2.2 with Kd in [ 0,10] 21 2.4 Nyquist plot for Example 2.2c ... parameter ranges of a decentralized proportional controller for a MIMO process Wang used rectangular subset of these controller gain regions to form the suitable gain margins However, that region...

Ngày tải lên: 10/09/2015, 09:25