CIPAC Publications


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 

CIPAC Computer Integrated Process Operations Consortium
School of Chemical Engineering, Purdue University

cipac@ecn.purdue.edu