The following table lists the titles and file numbers of CIPAC Publications
and links to their abstracts. If you are part of a CIPAC Member Company,
and interested in obtaining a copy of any of these papers, please provide
your mailing address, and contact:
| Number |
Title |
Authors |
| 92-1 |
A Language for Describing Process Scheduling Problems |
M.G. Zenter, J.F. Pekny, G.V. Reklatitis |
| 93-1 |
A Staged Primal-Dual Algorithm for Perfectb-Matching
With Edge Capacities |
D. Miller, J.F. Pekny |
| 93-2 |
Enumerative Approaches to Parallel Flowshop Scheduling
via Problem Transformation |
W.B. Gooding, J.F. Pekny, P.S. McCroskey |
| 93-3 |
Representing Bounded Fault Classes Using Neural
Networks With Ellipsoidal Activation Functions |
S.N. Kavuri, V. Venkatasubramanian |
| 93-4 |
Using Fuzzy Clustering with Ellipsoidal Units in
Neural Networks for Robust Fault Classification |
S.N. Kavuri, V. Venkatasubramanian |
| 93-5 |
Neural Network Decomposition Strategies for Large
Scale Fault Diagnosis |
S.N. Kavuri, V. Venkatasubramanian |
| 93-6 |
Learning to Solve Process Scheduling Problems:
the Role of Rigorous Knowledge Acquistion Frameworks |
M.G, Zenter, J.F. Pekny |
| 93-7 |
Reactive Schedule modification in Multipurpose
Batch Chemical Plants |
K. Kanakamedala, G.V. Reklaitis, V. Venkatasubramanian |
| 93-8 |
Design of Batch Chemical Plants under Market Uncertainty |
S. Subrahmanyam, J.F. Pekny, G.V. Reklaitis |
| 93-9 |
Computing Applications in Process Operations |
G.V. Reklaitis |
| 93-10 |
A Decomposition Heuristic for Scheduling the General
Batch Chemical Plant |
A. Elkamel, M.G. Zentner, J.F. Pekny, G.V. Reklaitis |
| 93-11 |
Integration of Process Monitoring, Diagnosis and
Control: Issues and Emerging Trends |
V. Venkatasubramanian, G.M. Stanley |
| 93-12 |
The Communication Revolution and Chemical Engineering Computing |
J.F. Pekny |
| 93-13 |
DCABB: A Distributed Control Architecture for
Branch and Bound Calculations |
G.K. Kudva, J.F. Pekny |
| 93-15 |
Efficient Modeling of Unit Connectivity in Process
Scheduling Formulations Based on Uniform Time Discretization |
M.G. Zentner, J.F. Pekny, G.V. Reklaitis |
| 93-16 |
Sceduling of Multipurpose Batch Chemical Plants
with Resource Constraints |
A.G. Tsirukis, S. Papageorgaki, G.V. Reklaitis |
| 93-17 |
Nonlinear Model-Based Control Using Second Order
Volterra Models |
F.J. Doyle III, B.A. Ogunnaike, R.K. Pearson |
| 94-1 |
Practical Considerations for Chemical Business
Planning and Batch/Semicontinuous Process Scheduling |
M.G. Zenter, J.F. Pekny, G.V. Reklatitis, D.L. Miller |
| 94-3 |
Proceedings of 1st Annual Midwest Process Control Workshop |
|
| 94-4 |
Perspective on Model Based Integration of Process Operations |
M.H. Bassett, F.J. Doyle III, G.K. Kudva, J.F. Pekny, G.V. Reklaitis,
S. Subrahmanyam, M.G. Zenter |
| 94-5 |
Using Distributed Computing to Support Integrated Batch Process, Scheduling,
Planning, & Design Under Market Uncertainty |
M.H. Bassett, G.K. Kudva, J.F. Pekny, S. Subrahmanyam |
| 94-9 |
A Heuristic Algorithm for a Constrained Cutting
Stock Problem |
P.S. McCroskey, P. Dave, J.F. Pekny |
| 95-1 |
Digraph-Based Models for Automated HAZOP Analysis |
R. Vaidhyanathan, V. Venkatasubramanian |
| 95-2 |
Computing Aided Design & Operation of Batch Process |
G.V. Reklaitis |
| 95-3 |
A Measure for Control Relevant Nonlinearity |
A.J. Stack, F.J. Doyle III |
| 95-4 |
Low Order Modeling for Nonlinear Process Control |
L.S. Balasubramhanya, F.J. Doyle III |
| 95-5 |
Input-Output Linearization Using Approximate Process
Models |
F.J. Doyle III, J.V. Hobgood |
| 95-6 |
A New Global Optimization Algorithm for Batch Process
Scheduling |
L. Mockus, G.V. Reklaitis |
| 95-7 |
A Framework for Investigating Schedule Robustness
Under Uncertainty |
D.J. Mignon, S.J. Honkomp, G.V. Reklaitis |
| 95-8 |
Application of Distributed Computing to Batch Plant
Design and Scheduling |
S. Subrahmanyam, G.K. Kudva, M.H. Bassett, J.F. Pekny |
| 95-9 |
Scheduling Approaches for the Batch Process Industries |
G.V. Reklaitis |
| 95-10 |
Investigation of Numerical Solution Approaches
to Multicomponent Batch Distillation in Packed Beds |
R.M. Wajge, J.M. Wilson, J.F. Pekny, G.V. Reklaitis |
| 95-11 |
Role and Prospects for Intelligent Systems in
Integrated Process Operations |
G.V. Reklaitis, L.B. Koppel |
| 95-12 |
Decomposition Approaches to Batch Plant Design
and Planning |
S. Subrahmanyam, J.F. Pekny, G.V. Reklaitis |
| 96-1 |
Nonlinear Process Control - Which Way to the Promised
Land |
F. Allgöwer, F.J. Doyle III |
| 96-2 |
A Dynamic Neural Network Approach to Nonlinear
Process Modeling |
A.M. Shaw, F.J. Doyle III, J.S. Schwaber |
| 96-3 |
Nonlinear Model Predictive Control of a Simulated
Multivariable Polymerization Reactor Using Second-order Volterra Models |
B.R. Maner, F.J. Doyle III, B.A. Ogunnaike, R.K. Pearson |
| 96-4 |
Role and Prospects for Intelligent Systems in Integrated
Process Operations |
G.V. Reklaitis, L.B. Koppel |
| 96-5 |
Dynamic Matrix Factorization Methods for Using
Formulations Derived From Higher Order Lifting Technoques in the Solution
of the Quadratic Assignment Problem |
B. Ramachandran, J.F. Pekny |
| 96-6 |
Decomposition Approaches to Batch Plant Design
and Planning |
S. Subrahmanyam, J.F. Pekny, G. V. Reklaitis |
| 96-7 |
Continuous Time Representation Approach to Batch
and Continuous Process Scheduling - I. MINLP Formulation |
L. Mockus, G. V. Reklaitis |
| 96-8 |
Continuous Time Representation Approach to Batch
and Continuous Process Scheduling - II. Computational Issues |
L. Mockus, G. V. Reklaitis |
| 96-9 |
Diagraph-based Models for Automated HAZOP Analysis
(revised) |
R. Vaidhyanathan, V. Venkatasubramanian |
| 96-10 |
Control-affine Neural Network Approach for Non-minimum-phase
Nonlinear Process Control |
A. Aoyama, F.J. Doyle III, V. Venkatasubramanian |
| 96-11 |
Internal Model Control Framework Using Neural
Networks for the Modeling and Control of a Bioreactor |
A. Aoyama, V. Venkatasubramanian |
| 96-12 |
A Syntactic Pattern-recognition Approach for Process
Monitoring and Fault Diagnosis |
R. Rengaswamy, V. Venkatasubramanian |
| 96-13 |
Control-affine Neural Network Approach for Nonlinear
Process Control |
A. Aoyama, F.J. Doyle III, V. Venkatasubramanian |
| 96-14 |
Evolutionary Design of Molecules with Desired
Properties using the Genetic Algorithm |
V. Venkatasubramanian, K. Chan, J.M. Caruthers |
| 96-15 |
LP Methods in MPC of Large Scale Systems - Applications
to Paper Machine CD Control |
P.Dave, D.A. Willig, G.K. Kudva, J.F. Pekny, F.J. Doyle III |
| 96-16 |
A Simplex Based Primal-Dual Algorithm for Finding
a Minimum Cost Perfect Two-Matching in an Undirected Graph |
P. Bunch, J.F. Pekny, G.K. Kudva, D.L. Miller |
| 97-1 |
Issues in the Use, Design, and Evolution of Process
Scheduling and Planning Systems |
G. Applequist, O. Samikoglu, J. Pekny and G. Reklaitis |
| 97-2 |
Optimization-Based Batch Production Scheduling |
K.M. Richards, M. Zenter and J. Pekny |
| 97-3 |
Nonlinear Inferential Control for Process Applications |
F. J. Doyle III |
| 97-4 |
Customization strategies for the solution of linear
programming problems arising from large scale model predictive control
of a paper machine |
P. Dave, J. Pekny and F.J. Doyle III |
| 97-5 |
Polymerization Reactor Control Using Autoregressive
Plus Volterra-based MPC |
B. Maner and F.J. Doyle III |
| 97-6 |
Measurement Selection for Model Predictive Control
of the Weyerhaeuser Benchmark Digester Problem |
P.A. Wisnewski, F.J. Doyle III, F. Kayihan and Y. Arkun |
| 97-7 |
A Fundamental Continuous Pulp Digester Model for
Simulation and Control |
P.A. Wisnewski, F.J. Doyle III and F. Kayihan |
| 97-8 |
Nonlinear Control of a High-purity Distillation
Column Using a Traveling Wave Model |
L. S. Balasubramhanya and F. J. Doyle III |
| 97-9 |
Robust Scheduling with Processing Time Uncertainty |
S. J. Honkomp, L. Mockus and G. Reklaitis |
| 97-10 |
An Optimal Campaign Structure for Multicomponent
Batch Distillation with Reversible Reaction |
R. M. Wajge and G. Reklaitis |
| 97-11 |
Signed Digraph Based Multiple Fault Diagnosis |
H. Vedam and V. Venkatasubramanian |
| 97-12 |
A Hybrid Framework for Large Scale Process Fault
Diagnosis |
D. Mylaraswamy and V. Venkatasubramanian |
| 97-13 |
A Wavelet Theory - Based Adaptive Trend Analysis
System for Process Monitoring and Diagnosis |
H. Vedam and V. Venkatasubramanian |
| 97-14 |
Integrating Knowledge-Based and Mathematical Programming
Approaches for Process Safety Verification |
R. Srinivasan, V.D. Dimitriadis, N. Shah and V. Venkatasubramanian |
| 97-15 |
Automating HAZOP Analysis of Batch Chemical Plants:
Part I. The Knowledge Representation Framework |
R. Srinivasan and V. Venkatasubramanian |
| 97-16 |
Automating HAZOP Analysis of Batch Chemical Plants:
Part II. Algorithms and Application |
R. Srinivasan and V. Venkatasubramanian |
| 97-17 |
Automating Operating Procedure Synthesis for Batch
Processes: I. Knowledge Representation and Planning Framework |
S. Viswanathan, C. Johnsson, R. Srinivasan, V. Venkatasubramanian and
K.E. Ärzen |
| 97-18 |
Automating Operating Procedure Synthesis for Batch
Processes: II. Implementation and Application |
S. Viswanathan, C. Johnsson, R. Srinivasan, V. Venkatasubramanian and
K.E. Ärzen |
| 97-19 |
Automating Process Safety Verification Using a
Hybrid Knowledge-based Mathematical Programming Framework |
R. Srinivasan, V.D. Dimitriadis, N. Shah and V. Venkatasubramanian |
| 97-20 |
Computer-Aided Molecular Design Using Neural Networks
and Generic Algorithms |
V.Venkatasubramanian, A. Sundaram, K. Chan and J. M. Caruthers |
| 97-21 |
NA |
Rajesh Wajge |
| 97-22 |
Sensitivity Analysis for Project Planning and
Scheduling under Uncertain Completions |
O. Samikoglu, S.J. Honkomp, J.F. Pekny and G.V. Reklaitis |
| 97-23 |
Robust Planning and Scheduling of Process Development
Projects Under Stochastic Conditions |
S.J. Honkomp, J.F. Pekny and G.V. Reklaitis |
| 97-24 |
Robust Planning and Scheduling of Process Development
Projects Under Stochastic Conditions. Searle project Summary |
S.J. Honkomp, J.F. Pekny and G.V. Reklaitis |