Home >> Technology >> History

An Evolution from Adaptive Predictive Control to ADEX

This is a brief overview of the ADEX history, from it's origins to the technology's current state. The majority of the documents referred to in this section are available for download in our Information Center.

To navigate the timeline, use your cursor to move along the top bar, and then click on the chosen date to read more about the activities that occurred in the specific year.

  • 1974

    Adaptive Predictive Control

    First Introduced

    PhD Thesis, University of Barcelona


    In September of 1974 the principles of the Adaptive Predictive Control (APC) methodology were first introduced in Juan Martín Sánchez doctoral thesis at the Polytechnic University of Catalonia.

  • 1975

    Adaptive Autopilot for F-8 DFBW

    Charles Stark Draper Laboratory



    Thanks a two year fellowship awarded by the Juan March Foundation of Spain, Dr. Martín Sánchez was able to develop an adaptive predictive autopilot for the F-8 Digital-Fly-by-Wire at the Charles Stark Draper Laboratory, formally the MIT Instrumentation Laboratory, in 1975. The outstanding results of the high fidelity simulation were formally communicated by the Draper Laboratory, in a letter written to the Juan March Foundation.

  • 1976

    Multivariable APC for Distillation Column

    Adaptive Predictive Control Patented

    Featured Article in Special Issue

    University of Alberta. Proceedings of the IEEE

    During the second year of the Juan March Foundation fellowship, Dr. Martín Sánchez developed a multivariable APC application for a distillation column at the U of A. Subsequently a patent for APC was filed in 1976, introducing the novel principle of predictive control within the context of Adaptive Predictive Control. This same year, the article “A New Solution to Adaptive Control” appeared in a special issue on Adaptive Systems, of the Proceedings of the IEEE. This article was also the cover story for this special issue.

  • 1978

    First Book on APC Published

    Series of Articles

    Juan March Foundation
    Mundo Electrónico


    The book Modern Control Theory: The Adaptive Predictive Methodology was published by the Juan March Foundation in 1978, and presented the theoretical fundamentals of APC and the practical applications developed at both Draper Laboratory and the University of Alberta. In this same year, APC was featured in a series of three articles in Mundo Electrónico – a leading Spanish-language engineering journal. Again APC was the cover story.

  • 1980

    CIP Patent for Extended APC

    Expansion of APC Methodology

    using Extended Prediction Horizon


    A Continuation-In-Part (C.I.P.) of the original patent filled in 1980 introduced the concept of integrating a prediction horizon into the APC solution. This CIP patent was accepted and published by national patent offices worldwide.

  • 1981

    Research Fellowship and Strategic Grant Awards

    Natural Sciences and Engineering

    Research Council (NSERC) of Canada


    NSERC granted a 5-year research fellowship award to Dr. Martín Sánchez in 1981 and later on an additional strategic grant award which also provided important financial support for the development of industrial applications of APC. One important application was developed at CANFOR’s Port Mellon, British Columbia (Canada) pulp and paper plant, in collaboration with the Pulp and Paper Research Institute of Canada (PAPRICAN), and the University of British Columbia. The results were also confirmed in a formal letter written by the Dean of Engineering, at the University of Alberta.

  • 1989

    Adaptive Predictive Control in the Press (1984-1989)

    More than 10 articles in International Journals and Publications

    First Industrial Applications of APC

    Articles featuring APC appeared in leading International Journals and periodicals such as the IEEE Transactions on Automatic Control, the International Journal of Control, and Automatica, a publication of the International Federation of Automatic Control (IFAC). During this period the first industrial applications were implemented in real operating environments.

  • 1993

    Real Industrial Applications of Adaptive Predictive Control

    APC featured at IEEE conference in Vancouver, Canada



    Dr. Martín Sánchez, by special invitation, presents a plenary session at IEEE Conference on Control Applications in Vancouver, Canada. The plenary session titled “Adaptive Predictive Control: From the Concepts to the Optimization of Industrial Plants” presented real applications for industries such as cement and energy.

  • 1996

    Adaptive Predictive Control: From the Concepts to Plant Optimization

    2nd Book in APC published by Prentice-Hall


    Based on more than 100 industrial applications, this second book on Adaptive Predictive Control presented the update of the methodology and the stability theory that underlies APC systems, and concentrated on their application and contribution to the optimization of industrial plants.

  • 1997

    Special Issue Dedicated to Adaptive Predictive Control

    International Journal of Control and Signal Processing



    In a special issue of the International Journal of Control and Signal Processing, titled “Adaptive Predictive Control: Limits of Stability and Applications”, APC was reviewed and industrial applications of the methodology were presented, including a power plant application.

  • 1999

    Patent Application for ADEX

    ADEX, S.L. Founded



    Patent for ADEX filed with World Intellectual Property Organization (WIPO), and ADEX, S.L. is established as the company that will commercialize the technology.

  • 2001

    ADEX Patent Awarded by WIPO

    Industrially oriented methodology improves robustness, efficiency and reliability of APC


    Accepted in 2001 by the World Intellectual Property Organization (WIPO), ADEX obtains international patent protection, including the U.S.A. and Europe. The ADEX methodology was introduced to integrate APC and Expert Control, allowing for the use of available process knowledge within the controller. As such, ADEX represents a new generation of APC oriented towards industrial application which improves the robustness, efficiency and reliability of previous APC controllers.

  • 2002

    First Industrial Applications

    Major industrial players use ADEX



    2002-2004 marked the years where ADEX was first commercially applied at large industrial players such as Aceralia (now know under the Arcelor brand in Spain), Canal de Isabel II, and Repsol YPF. Client testimonials can be downloaded from the Information Centre.

  • 2004

    UNED Published ADEX Book

    New training courses created



    The third book on APC is published, and presents the new generation of the methodology, named Adaptive Predictive Expert Control (ADEX). New training courses, design to teach industrial engineers and process control professionals how to apply ADEX in their own operating environments, are based on the book.

  • 2005

    ADEX, S.L. Expands

    Private Capital

    CDTI Investment



    Thanks to an injection of 580.000 € of capital from both private investors and under the auspices of CDTI’s NEOTEC Project, ADEX, S.L. is able to move into new facilities and increase headcount.

  • 2007

    ADEX, S.L. Wins Top Award

    Best technological idea and business plan



    ADEX, S.L. wins the award for Best Technological Idea and Business Plan from Madri+d, a research and technology network intended to improve the competitiveness of businesses operating in the Community of Madrid, by facilitating the transfer of technological know-how. New ADEX Systems continue to be developed and applied to a wide variety of industries.

  • 2008

    ADEX project in Mexico

    Performance improved more than 80% in sulfur recovery process

    La Gavia water treatment plant

    Energy savings of 20%

    ADEX, S.L. continues expanding both nationally and internationally. In petrochemical, ADEX successfully optimized the control of 5 sulfur recovery units in the Cadereyta refinery of PEMEX Refinación, Nuevo León in Mexico with more than 80% improvement in performance. In the environment area, between 15 and 23% energy savings were achieved together with a significant improvement in treated water quality in the biological purification process of the prestigious new waste water plant in La Gavia, Madrid.

  • 2009

    Project in Scottish Power

    ADEX in FP7-EU projects

    Adaptive flight control systems

    President of ADEX IEEE Fellow

    ADEX, S.L. has carried out project for Scottish Power’s coal fired power station at Cockenzie consisting in the optimization of superheated steam temperatures. Also, ADEX has participated in two European FP7 projects, Flexiburn, for the development of “clean coal” power plant technology with carbon capture and storage (CCS), and the Central Design Team (CDT), to design the first transmutation reactor for the nuclear industry. Likewise, it has been initiated the project entitled “Adaptive Flight Control System for ATLANTE” with the collaboration of EADS and GMV, and participates in the project called SINTONIA, aimed at developing advanced systems for unmanned aircraft, led by Boeing. In 2009, the President of ADEX was appointed Fellow of the IEEE for his “contributions to adaptive predictive control methodologies”.

  • 2010

    ADEX in the FP7 – EU project

    Project in Scottish Power

    Project in Chocolates Valor


    During 2010, ADEX S.L. has participated in a belonging programme to the European 7th framework called the MYRRHA Accelerator eXperiment research (MAX) with the collaboration of SCK·CEN (Studiecentrum voor Kernenergie) and CNRS (Centre National de la Recherche Scientific). Moreover, ADEX S.L. has carried out a project for Scottish Power´s Daldowie waste water plant at Glasgow controlling the levels of dissolved oxygen in the tanks. Also, it has been initiated the application of ADEX optimized Control to the chocolate tempering process in the Alicante factory of Chocolates Valor. Finally, the IEEE of India invited the President of ADEX to deliver a cycle of seminars on Optimized Adaptive Control and Industrial Applications.

  • 2011

    Project in BBE

    ADEX in the cement industry

    ACM (ADEX Controller Module) Development

    In 2011 ADEX S.L. has carried out a project for Bahía Bizkaia Electricidad´s combined cycle power station at Bilbao consisting in the optimization of superheated steam temperatures. Moreover, ADEX has been contracted by “Financiera y Minera” of the Italcementi Group to install and maintain an Optimized Control System for the grate coolers and the cement klin calcinator. Likewise, Portland Valderrivas group, also from the cement industry, has required ADEX´s services to optimize the control performance of cement mills at their Uniland factory. Finally, in order to respond the demand from clients for a robust, heavy industrial solution working at PLC level, in cases where the PC environment is not appropriate, ADEX has developed a hardware module which executes the ADEX controller, this is called ADEX Controller Module or ACM.

  • 2012

    Validation of ADEX AST-FCS design

    ADEX in composites production

    Special Edition for Industrial Optimized Adaptive Control


    During 2012, an adaptive self-tuning flight control system (AST-FCS) designed by ADEX for the ATLANTE UAS has been successfully validated using the simulation developed by the Flight Dynamics & Control Laws Department of Airbus Military. EADS has certified the excellent results obtained by the AST FCS highlighting their ability to deal with uncertainties. Also, International Composites, S.A. (ICSA) has reduced production cycle and increased quality in aerospace parts fabricated under ADEX control in their Toledo plant. Additionally, a Special Edition for Industrial Optimised Adaptive Control of the Int. J. of Adaptive Control and Signal Processing edited by Juan M. Martín Sánchez was published in October. It presents the “state of the art” in adaptive control and includes ADEX applications in various industrial areas.

  • 2013

    Acciona´s Biomass Plant Optimized by ADEX system

    ENDESA and ADEX signed Optical Project

    ABB DCS integrates ADEX system in PEMEX


    In 2013, an ADEX optimized adaptive control system was applied in the 28 MW Sangüesa biomass plant, one of the largest in Spain. More than 1% increase in generated net energy was achieved under a significantly more stable operation by the ADEX system. Acciona Energy certified the excellence of the results. ENDESA and ADEX signed the Optical project. It represents a collaboration agreement between both companies for the use of ADEX systems in the thermal and nuclear plants of ENDESA and ENEL; particularly, it contemplates the optimized adaptive control of steam temperatures. ABB DCS integrated ADEX optimization system for their application in the PEMEX refinery of Cadereyta (Nuevo León, Mexico).

  • 2015

    ADEX book published by Springer

    Collaboration Agreements : ENEL and VEOLIA

    Participation in H2020 Projects


    In 2015 the book “ADEX Optimized Adaptive Controllers and Systems” was published by Springer and authored by J.M. Martín –Sánchez and J. Rodellar. This book is a compendium of the R+D+i and Industrial applications carried out by ADEX SL directors and engineers. Also long term collaboration agreements were signed with the multinational ENEL for the optimization of their plant in the energy area, including coal-fired power plants, combined cycles, hydraulic and diesel plants. Another long term collaboration agreement was signed with HPD Veolia for evaporation, concentration and crystallization plants. Likewise ADEX participated in two H2020 outstanding projects. It was awarded phase 1 of the H2020 AST-FCS Project, whose objective is the development and commercialization of the first adaptive self-tuning Flight control system in aeronautics, and it became a member of the consortium to develop the “MYRRHA Research and Transmutation Endeavour (MYRTE)” Project.


Use of Cookies Cookies, including our own and those of third parties, are used in order to improve the navigation experience and enable focus on contents of specific interest. By continuing with the navigation, it is assumed that our cookies policy is accepted. Close