... coordination, and controlof VIII Editorial manufacturing systems, with the addition of Chapters and 12 that appeared as articles in other issues of OR Spectrum That special issue of OR Spectrum ... models for the design, coordination, and controlofmanufacturingsystems The advantage of modeling is that it can lead to the deepest understanding of the system and give the most practical ... Strauss Offsetdruck SPIN 11506560 Printed on acid-free paper 42/3153 Editorial Stochastic Modeling ofManufacturing Systems: Advances in Design, Performance Evaluation, and Control Issues Manufacturing...
... and machine utilization - Supervisorycontrol - functions related to production control, traffic control, tool control, and so on page 19 1.2.3 General Concepts • Manufacturing requires computers ... etc., for process control - analysis of results (e.g., inspection results) • Process control computers are local to machines to control the specifics of the individual processes Some of their attributes ... The Architecture of Integration • integrated manufacturingsystems are built with generic components such as, page 18 - Computing Hardware - Application Software - Database Software - Network...
... incomprehension of the language of Computer-Aided Manufacturing (CAM) systems by the Computer-Aided Design (CAD) systems The CAD systems were initially envisioned to serve as drafting systems Currently, ... These integrated systems should emphasize both the syntactic-level and semanticlevel sharing of information One of the major bottlenecks in building integrated design -manufacturing systems is the ... automatic feature recognition systems use geometric and/or topological information to infer the presence of a particular type of feature The approach of extracting manufacturing features seems...
... Structural Controlof Large-Scale Flexibly Automated ManufacturingSystems Spyros A Reveliotis, Mark A Lawley, and Placid M Ferreira Chapter The Design of Human-Centered ManufacturingSystems Dietrich ... of expansion of process i at the beginning of period t Pjlt Units of chemical j purchased from market l at the beginning of period t Qit Total capacity of process i in period t The capacity of ... AND MANUFACTURINGSystems Techniques And Applications VOLUME V DESIGN OFMANUFACTURINGSYSTEMS THE Editor CORNELIUS LEONDES CRC Press Boca Raton London New York Washington, D.C Library of Congress...
... and machine utilization - Supervisorycontrol - functions related to production control, traffic control, tool control, and so on page 19 1.2.3 General Concepts • Manufacturing requires computers ... etc., for process control - analysis of results (e.g., inspection results) • Process control computers are local to machines to control the specifics of the individual processes Some of their attributes ... The Architecture of Integration • integrated manufacturingsystems are built with generic components such as, page 18 - Computing Hardware - Application Software - Database Software - Network...
... and machine utilization - Supervisorycontrol - functions related to production control, traffic control, tool control, and so on page 19 1.2.3 General Concepts • Manufacturing requires computers ... etc., for process control - analysis of results (e.g., inspection results) • Process control computers are local to machines to control the specifics of the individual processes Some of their attributes ... The Architecture of Integration • integrated manufacturingsystems are built with generic components such as, page 18 - Computing Hardware - Application Software - Database Software - Network...
... incomprehension of the language of Computer-Aided Manufacturing (CAM) systems by the Computer-Aided Design (CAD) systems The CAD systems were initially envisioned to serve as drafting systems Currently, ... These integrated systems should emphasize both the syntactic-level and semanticlevel sharing of information One of the major bottlenecks in building integrated design -manufacturing systems is the ... automatic feature recognition systems use geometric and/or topological information to infer the presence of a particular type of feature The approach of extracting manufacturing features seems...
... Structural Controlof Large-Scale Flexibly Automated ManufacturingSystems Spyros A Reveliotis, Mark A Lawley, and Placid M Ferreira Chapter The Design of Human-Centered ManufacturingSystems Dietrich ... of expansion of process i at the beginning of period t Pjlt Units of chemical j purchased from market l at the beginning of period t Qit Total capacity of process i in period t The capacity of ... AND MANUFACTURINGSystems Techniques And Applications VOLUME V DESIGN OFMANUFACTURINGSYSTEMS THE Editor CORNELIUS LEONDES CRC Press Boca Raton London New York Washington, D.C Library of Congress...
... Predictive Control 16 Proofs for Section 13 16.1 Proof of Theorem 13.11 This proof will follow the so-called “direct method" of establishing stability by directly proving strict decrease of J ∗ ( ... Predictive Controlof Nonlinear Systems 53 16.4 Proof of Proposition 14.4 It can be shown that Assumption 13.3, together with the compactness of Σ x , is sufficient for an ∗ analogue of Claim ?? ... receding horizon controlof nonlinear systems, Proc IFAC Symposium on Nonlinear Control Systems, Stuttgart, Germany, pp 1055–1060 Aubin, J (1991) Viability Theory, Systems & Control: Foundations...
... MODELING AND CONTROLOF ENGINEERING SYSTEMS THIRD EDITION This textbook is ideal for a course in Engineering System Dynamics and Controls The work is a comprehensive treatment of the analysis of lumped-parameter ... recognized expert in automatic control systems, computer simulations and controlof industrial processes, systems dynamics, vehicle–road dynamic interaction, and transportation systems His fuzzy-logic ... Contents 5.5 5.6 5.7 521 86435 Systemsof Differential Equations Stiff Systemsof Differential Equations Synopsis Problems 133 133 138 139 SIMULATION OF DYNAMIC SYSTEMS 141 6.1 6.2 6.3 6.4 6.5...
... and controlof linear systems analysis and controlof linear systems/ edited by Philippe de Larminat p cm ISBN-13: 978-1-905209-35-4 ISBN-10: 1-905209-35-5 Linear controlsystems Automatic control ... invariant systems 2.4.3 Canonic representation of partially controllable systems 2.4.4 Scalar representation of partially controllable systems 2.5 Observability ofsystems ... representation of invariant and linear discrete systems 2.4 Controllability ofsystems 2.4.1 General definitions 2.4.2 Controllability of linear...
... Analysis and Controlof Linear Systems In general, the Dirac impulse is a very simplified model of any impulse phenomenon centered in t = t o , with a shorter period than the time range of the systems ... 20 Analysis and Controlof Linear Systems Table 1.1 sums up the features of a system’s transfer function, the existence conditions of its frequency response and the possibility of performing a ... final value of the response at the end of time T, which is called time constant of the system The response reaches 0.63 K in T and 0.95 K in T 24 Analysis and Controlof Linear Systems Figure...
... positive 94 Analysis and Controlof Linear Systems NOTE 3.3.– the class of rational systems that can be described by [3.16] or [3.18] is a sub-class of DLTI systems To be certain of this, let us consider ... development of X (z) by polynomial division according to 86 Analysis and Controlof Linear Systems the decreasing powers of z −1 or apply the method of deviations, starting from the definition of the ... Analysis and Controlof Linear Systems 3.2.2 Delay and lead operators The concept of an operator is interesting because it enables a compact formulation of the description of signals and systems The...
... 110 Analysis and Controlof Linear Systems The object of this chapter is to describe certain structural properties of linear systems that condition the resolution of numerous control problems ... a basis of the canceller at the left of W (i.e a maximal solution of equation WtW = {0}), a basis of LV is obtained by directly preserving only the independent columns of LV A basis of L–1W is ... indices per rows of the observability beam are exactly equal to the observability indices of the 124 Analysis and Controlof Linear Systems pair (C, A) The finite elementary divisors of the observability...
... proximity of ν0 152 Analysis and Controlof Linear Systems Figure 5.1 Typical power spectrum of an MA (left) or AR (right) model In the case of a single denominator (nc = 0), we talk of an AR ... )) ∀κ ∈ Z [5.18] 146 Analysis and Controlof Linear Systems are independent of index k, i.e independent of the time origin σy = ryy [0] is the r [κ] variance of the signal considered yy2 is the ... 142 Analysis and Controlof Linear Systems A discrete-time deterministic signal y[k], k ∈ Z is, by definition, a sequence of complex numbers: y = y[k] k∈Z In short, we often speak of a discrete signal...
... case of multi -control systems at the expense of additional developments (see [DOR 95, FRI 86]) 188 Analysis and Controlof Linear Systems Figure 6.10 Control by the observer, compared to control ... expense of stronger controls Inversely, the increase of all coefficients of R will lead to softer controls and to a slower dynamic behavior; – the two conditions in [6.36] or [6.41] are not of the ... system is controllable In this part, we will assume that the system has only one control; however, the result cannot be extended to the 162 Analysis and Controlof Linear Systems case of multi-control...
... 196 Analysis and Controlof Linear Systems in performing the roles of the procedure, in connection with a structure and behavior of components They are used for the design of procedure monitoring, ... in view of the control, we can use direct methods based on the use of experimental recordings Two methods are available: the use of the harmonic response of the system or the analysis of time ... and Controlof Linear Systems recording of a specific response We need to be aware of the fact that it is essential to have a little, even very little, noise on the responses and, irrespective of...
... the integration of [8.1] is done from [8.5] The calculation of Φ and Γ is ˆ ˆ obtained via the estimation N of N Finally, the calculation of N goes through that of the upper bound of sampling interval ... where zi is a root of the polynomial: r p(z) = i=0 αi z r−i + µ r i=0 βi z r−i [8.42] 242 Analysis and Controlof Linear Systems Consequently, the field of absolute stability of multi-interval ... value of β0 ) is the set of µ ∈ C so that the roots of the polynomial It is important to know that the field of absolute stability of [8.42] verify |zi | implicit methods is always larger (often...
... choice of the contour of C excludes the origin (a), the transform of the contour C (b), Cε circle of radius ε, p = εejθ (c) The image of the semicircle of an infinitely big radius is the origin of ... latter transformation and we will study the case of open loop stable systems, that of integrator systems and finally the case of open loop unstable systems Analysis by Classic Scalar Approach 261 ... is of −π / When ω → +∞ , the gain → and the phase is of −π The image of the ray ] − ∞, `− [ is the symmetric curve, with respect to the axis of real numbers The image of the semicircle of radius...
... Analysis and Controlof Linear Systems Figure 10.12 Bode graph with insufficient phase margin Figure 10.13 Bode graph in OL of the corrected system Synthesis of Closed Loop ControlSystems 297 ... of the loop and compensate either the error due to the input, or the effect of interference In a complex case (several interferences, some of which are non- Synthesis of Closed Loop ControlSystems ... correction 298 Analysis and Controlof Linear Systems The phase margin of the corrected system is obtained by adding to the φ m of the corrector 180° plus the phase of the initial system to ω...