Relevant bibliographies by topics / Geometric nonlinear control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Geometric nonlinear control'

Author: Grafiati
Published: 4 June 2021
Last updated: 31 January 2023

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Journal articles on the topic "Geometric nonlinear control"

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Alvarez, Jesus, Teresa Lopez, and Eduardo Hernandez. "Robust Geometric Nonlinear Control of Process Systems." IFAC Proceedings Volumes 33, no. 10 (June 2000): 395–400. http://dx.doi.org/10.1016/s1474-6670(17)38572-5.

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Brockett, Roger. "The early days of geometric nonlinear control." Automatica 50, no. 9 (September 2014): 2203–24. http://dx.doi.org/10.1016/j.automatica.2014.06.010.

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MAIDI, Ahmed, and Jean Pierre CORRIOU. "Boundary Geometric Control of Nonlinear Diffusion Systems." IFAC Proceedings Volumes 46, no. 26 (2013): 49–54. http://dx.doi.org/10.3182/20130925-3-fr-4043.00016.

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Wu, Shu Jing, Da Zhong Wang, and Shigenori Okubo. "Control for Nonlinear Chemical System." Key Engineering Materials 467-469 (February 2011): 1450–55. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1450.

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In this paper, we propose a new design of the feedback control of state vector for the plants with polynomial dynamics. A genetic algorithm is employed to find suitable gain, and algebraic geometric concept is used to simplify the design. Finally, an example is given to illustrate the effectiveness of the proposed method.
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MIROSHNIK, Iliya V. "PARTIAL STABILIZATION AND GEOMETRIC PROBLEMS OF NONLINEAR CONTROL." IFAC Proceedings Volumes 35, no. 1 (2002): 151–56. http://dx.doi.org/10.3182/20020721-6-es-1901.00275.

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Elkin, V. I. "Geometric Theory of Reduction of Nonlinear Control Systems." Computational Mathematics and Mathematical Physics 58, no. 2 (February 2018): 155–58. http://dx.doi.org/10.1134/s0965542518020045.

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Bell, D. "Algebraic and geometric methods in nonlinear control theory." Automatica 24, no. 4 (July 1988): 586–87. http://dx.doi.org/10.1016/0005-1098(88)90105-7.

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Burstein, Gabriel. "Algebraic and geometric methods in nonlinear control theory." Acta Applicandae Mathematicae 11, no. 2 (February 1988): 177–91. http://dx.doi.org/10.1007/bf00047286.

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Kravaris, Costas, and Jeffrey C. Kantor. "Geometric methods for nonlinear process control. 1. Background." Industrial & Engineering Chemistry Research 29, no. 12 (December 1990): 2295–310. http://dx.doi.org/10.1021/ie00108a001.

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Chen, Yahao, and Witold Respondek. "Geometric analysis of nonlinear differential-algebraic equations via nonlinear control theory." Journal of Differential Equations 314 (March 2022): 161–200. http://dx.doi.org/10.1016/j.jde.2022.01.008.

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Dissertations / Theses on the topic "Geometric nonlinear control"

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Altafini, Claudio. "Geometric control methods for nonlinear systems and robotic applications." Doctoral thesis, Stockholm : Tekniska högsk, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-3151.

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Nelson, Richard J. (Richard Joseph). "Geometric control of quantum mechanical and nonlinear classical systems." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80595.

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Dore, Shaun David. "Application of geometric nonlinear control in the process industries : a case study." Thesis, Imperial College London, 1993. http://hdl.handle.net/10044/1/7398.

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Chen, Yahao. "Geometric analysis of differential-algebraic equations and control systems : linear, nonlinear and linearizable." Thesis, Normandie, 2019. http://www.theses.fr/2019NORMIR04.

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Dans la première partie de cette thèse, nous étudions les équations différentielles algébriques (en abrégé EDA) linéaires et les systèmes de contrôles linéaires associés (en abrégé SCEDA). Les problèmes traités et les résultats obtenus sont résumés comme suit : 1. Relations géométriques entre les EDA linéaires et les systèmes de contrôles génériques SCEDO. Nous introduisons une méthode, appelée explicitation, pour associer un SCEDO à n'importe quel EDA linéaire. L'explicitation d'une EDA est une classe des SCEDO, précisément un SCEDO défini, à un changement de coordonnées près, une transformation de bouclage près et une injection de sortie près. Puis nous comparons les « suites de Wong » d'une EDA avec les espaces invariants de son explicitation. Nous prouvons que la forme canonique de Kronecker FCK d'une EDA linéaire et la forme canonique de Morse FCM d'un SCEDO, ont une correspondance une à une et que leurs invariants sont liés. De plus, nous définissons l'équivalence interne de deux EDA et montrons sa particularité par rapport à l'équivalence externe en examinant les relations avec la régularité interne, i.e., l'existence et l'unicité de solutions. 2. Transformation d'un SCEDA linéaire vers sa forme canonique via la méthode d'explicitation avec des variables de driving. Nous étudions les relations entre la forme canonique par bouclage FCFB d'un SCEDA proposée dans la littérature et la forme canonique de Morse pour les SCEDO. Premièrement, dans le but de relier SCEDA avec les SCEDO, nous utilisons une méthode appelée explicitation (avec des variables de driving). Cette méthode attache à une classe de SCEDO avec deux types d'entrées (le contrôle original et le vecteur des variables de driving) à un SCEDA donné. D'autre part, pour un SCEDO linéaire classique (sans variable de driving) nous proposons une forme de Morse triangulaire FMT pour modifier la construction de la FCM. Basé sur la FMT nous proposons une forme étendue FMT et une forme étendue de FCM pour les SCEDO avec deux types d'entrées. Finalement, un algorithme est donné pour transformer un SCEDA dans sa FCFB. Cet algorithme est construit sur la FCM d'un SCEDO donné par la procédure d'explicitation. Un exemple numérique illustre la structure et l'efficacité de l'algorithme. Pour les EDA non linéaires et les SCEDA (quasi linéaires) nous étudions les problèmes suivants : 3. Explicitations, analyse externe et interne et formes normales des EDA non linéaires. Nous généralisons les deux procédures d'explicitation (avec ou sans variables de driving) dans le cas des EDA non linéaires. L'objectif de ces deux méthodes est d'associer un SCEDO non linéaire à une EDA non linéaire telle que nous puissions l'analyser à l'aide de la théorie des EDO non linéaires. Nous comparons les différences de l'équivalence interne et externe des EDA non linéaires en étudiant leurs relations avec l'existence et l'unicité d'une solution (régularité interne). Puis nous montrons que l'analyse interne des EDA non linéaire est liée à la dynamique nulle en théorie classique du contrôle non linéaire. De plus, nous montrons les relations des EDAS de forme purement semi-explicite avec les 2 procédures d'explicitations. Finalement, une généralisation de la forme de Weierstrass non linéaire FW basée sur la dynamique nulle d'un SCEDO non linéaire donné par la méthode d'explicitation est proposée
In the first part of this thesis, we study linear differential-algebraic equations (shortly, DAEs) and linear control systems given by DAEs (shortly, DAECSs). The discussed problems and obtained results are summarized as follows. 1. Geometric connections between linear DAEs and linear ODE control systems ODECSs. We propose a procedure, named explicitation, to associate a linear ODECS to any linear DAE. The explicitation of a DAE is a class of ODECSs, or more precisely, an ODECS defined up to a coordinates change, a feedback transformation and an output injection. Then we compare the Wong sequences of a DAE with invariant subspaces of its explicitation. We prove that the basic canonical forms, the Kronecker canonical form KCF of linear DAEs and the Morse canonical form MCF of ODECSs, have a perfect correspondence and their invariants (indices and subspaces) are related. Furthermore, we define the internal equivalence of two DAEs and show its difference with the external equivalence by discussing their relations with internal regularity, i.e., the existence and uniqueness of solutions. 2. Transform a linear DAECS into its feedback canonical form via the explicitation with driving variables. We study connections between the feedback canonical form FBCF of DAE control systems DAECSs proposed in the literature and the famous Morse canonical form MCF of ODECSs. In order to connect DAECSs with ODECSs, we use a procedure named explicitation (with driving variables). This procedure attaches a class of ODECSs with two kinds of inputs (the original control input and the vector of driving variables) to a given DAECS. On the other hand, for classical linear ODECSs (without driving variables), we propose a Morse triangular form MTF to modify the construction of the classical MCF. Based on the MTF, we propose an extended MTF and an extended MCF for ODECSs with two kinds of inputs. Finally, an algorithm is proposed to transform a given DAECS into its FBCF. This algorithm is based on the extended MCF of an ODECS given by the explication procedure. Finally, a numerical example is given to show the structure and efficiency of the proposed algorithm. For nonlinear DAEs and DAECSs (of quasi-linear form), we study the following problems: 3. Explicitations, external and internal analysis, and normal forms of nonlinear DAEs. We generalize the two explicitation procedures (with or without driving variable) proposed in the linear case for nonlinear DAEs of quasi-linear form. The purpose of these two explicitation procedures is to associate a nonlinear ODECS to any nonlinear DAE such that we can use the classical nonlinear ODE control theory to analyze nonlinear DAEs. We discuss differences of internal and external equivalence of nonlinear DAEs by showing their relations with the existence and uniqueness of solutions (internal regularity). Then we show that the internal analysis of nonlinear DAEs is closely related to the zero dynamics in the classical nonlinear control theory. Moreover, we show relations of DAEs of pure semi-explicit form with the two explicitation procedures. Furthermore, a nonlinear generalization of the Weierstrass form WE is proposed based on the zero dynamics of a nonlinear ODECS given by the explicitation procedure
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Calvet, Jean-Paul. "A differential geometric approach for the nominal and robust control of nonlinear chemical processes." Diss., Georgia Institute of Technology, 1989. http://hdl.handle.net/1853/21596.

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Kam, Kiew M. "Simulation and implementation of nonlinear control systems for mineral processes." Thesis, Curtin University, 2000. http://hdl.handle.net/20.500.11937/2383.

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Differential geometric nonlinear control of a multiple stage evaporator system of the liquor burning facility associated with the Bayer process for alumina production at Alcoa Wagerup alumina refinery, Western Australia was investigated.Mathematical models for differential geometric analysis and nonlinear controller synthesis for the evaporator system were developed. Two models, that were structurally different from each other, were used in the thesis for simulation studies. Geometric nonlinear control structure, consisting of nonlinear state feedback control laws and multi-loop single-input single-output proportional-integral controllers, were designed for the industrial evaporator system. The superiority of the geometric nonlinear control structure for regulatory control of the evaporator system was successfully demonstrated through computer simulations and real-time simulator implementation. The implementation trial has verified the practicality and feasibility of these type of controllers. It also re-solved some practical issues of the geometric nonlinear control structure for industrial control applications. In addition, the implementation trial also established a closer link between the academic nonlinear control theory and the industrial control practices.Geometric nonlinear output feedback controller, consisting of the geometric nonlinear control structure and reduce-order observer was proposed for actual plant implementation on the evaporator system on-site. Its superior performance was verified through computer simulations, but its feasibility on the evaporator system on-site has yet to be investigated either through simulator implementation or actual plant implementation. This investigation was not performed due to the time constraint on the preparation of this thesis and the inavailability of the plant personnel required for this implementation.Robust nonlinear control structures that are simple and computationally efficient have been proposed for enhancing the performance of geometric nonlinear controllers in the presence of plant/model mismatch and/or external disturbances. The robust nonlinear control structures are based on model error compensation methods. Robustness properties of the proposed robust nonlinear control structures on the evaporator system were investigated through computer simulations and the results indicated improved performance over the implemented geometric nonlinear controller in terms of model uncertainty and disturbance reductions.A software package was developed in MAPLE computing environment for the analysis of nonlinear processes and the design of geometric nonlinear controllers. This developed symbolic package is useful for obtaining fast and exact solutions for the analysis and design of nonlinear control systems. Procedures were also developed to simulate the geometric nonlinear control systems. It was found that MAPLE, while it is superior for the analyses and designs, is not viable for simulations of nonlinear control systems. This was due to limitation of MAPLE on the physical, or virtual, memory management. The use of both symbolic and numeric computation for solutions of nonlinear control system analysis, design and simulation is recommended.To sum up, geometric nonlinear controllers have been designed for an industrial multiple stage evaporator system and their simplicity, practicality, feasibility and superiority for industrial control practices have been demonstrated either through computer simulations or real-time implementation. It is hoped that the insights provided in this thesis will encourage more industry-based projects in nonlinear control, and thereby assist in closing the widening gap between academic nonlinear control theory and industrial control practice.Keywords: geometric nonlinear control, input-output linearization, multiple stage evaporator, robust geometric nonlinear control, control performance enhancement.
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Kam, Kiew M. "Simulation and implementation of nonlinear control systems for mineral processes." Curtin University of Technology, School of Chemical Engineering, 2000. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=10063.

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Differential geometric nonlinear control of a multiple stage evaporator system of the liquor burning facility associated with the Bayer process for alumina production at Alcoa Wagerup alumina refinery, Western Australia was investigated.Mathematical models for differential geometric analysis and nonlinear controller synthesis for the evaporator system were developed. Two models, that were structurally different from each other, were used in the thesis for simulation studies. Geometric nonlinear control structure, consisting of nonlinear state feedback control laws and multi-loop single-input single-output proportional-integral controllers, were designed for the industrial evaporator system. The superiority of the geometric nonlinear control structure for regulatory control of the evaporator system was successfully demonstrated through computer simulations and real-time simulator implementation. The implementation trial has verified the practicality and feasibility of these type of controllers. It also re-solved some practical issues of the geometric nonlinear control structure for industrial control applications. In addition, the implementation trial also established a closer link between the academic nonlinear control theory and the industrial control practices.Geometric nonlinear output feedback controller, consisting of the geometric nonlinear control structure and reduce-order observer was proposed for actual plant implementation on the evaporator system on-site. Its superior performance was verified through computer simulations, but its feasibility on the evaporator system on-site has yet to be investigated either through simulator implementation or actual plant implementation. This investigation was not performed due to the time constraint on the preparation of this thesis and the inavailability of the plant personnel required for this implementation.Robust ++
nonlinear control structures that are simple and computationally efficient have been proposed for enhancing the performance of geometric nonlinear controllers in the presence of plant/model mismatch and/or external disturbances. The robust nonlinear control structures are based on model error compensation methods. Robustness properties of the proposed robust nonlinear control structures on the evaporator system were investigated through computer simulations and the results indicated improved performance over the implemented geometric nonlinear controller in terms of model uncertainty and disturbance reductions.A software package was developed in MAPLE computing environment for the analysis of nonlinear processes and the design of geometric nonlinear controllers. This developed symbolic package is useful for obtaining fast and exact solutions for the analysis and design of nonlinear control systems. Procedures were also developed to simulate the geometric nonlinear control systems. It was found that MAPLE, while it is superior for the analyses and designs, is not viable for simulations of nonlinear control systems. This was due to limitation of MAPLE on the physical, or virtual, memory management. The use of both symbolic and numeric computation for solutions of nonlinear control system analysis, design and simulation is recommended.To sum up, geometric nonlinear controllers have been designed for an industrial multiple stage evaporator system and their simplicity, practicality, feasibility and superiority for industrial control practices have been demonstrated either through computer simulations or real-time implementation. It is hoped that the insights provided in this thesis will encourage more industry-based projects in nonlinear control, and thereby assist in closing the widening gap between academic nonlinear control theory and industrial control ++
practice.Keywords: geometric nonlinear control, input-output linearization, multiple stage evaporator, robust geometric nonlinear control, control performance enhancement.
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Li, Yongfeng. "Nonlinear oscillation and control in the BZ chemical reaction." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26565.

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Thesis (Ph.D)--Mathematics, Georgia Institute of Technology, 2009.
Committee Chair: Yi, Yingfei; Committee Member: Chow, Shui-Nee; Committee Member: Dieci, Luca; Committee Member: Verriest, Erik; Committee Member: Weiss, Howie. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Park, Song Won. "Aplicação de controladores geométricos não-lineares em processos químicos." Universidade de São Paulo, 1995. http://www.teses.usp.br/teses/disponiveis/3/3137/tde-10102017-092846/.

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Para abordagem do controle não-linear geométrico, a síntese do controle e elaborada diretamente a partir da descrição do processo com a dinâmica não-linear em espaço de estados. O presente trabalho trata da aplicação dos principais conceitos e formalismos do controle não-linear geométrico para os processos multivariaveis típicos da engenharia química: o controle não-linear continuo da coluna de destilação e o controle não-linear discreto da unidade de craqueamento catalítico em leito fluidizado. A síntese e o projeto do controlador não-linear são enfocados separadamente. O projeto do controlador tem importância pratica para as aplicações industriais. O presente trabalho apresenta metodologias para a abordagem dos seguintes aspectos da aplicação multivariavel do controle geométrico não-linear: (a) como relaxar a sintonia do controlador interno de desacoplamento não-linear; (b) como definir o controlador externo como controle linear de alocação de pólos com coeficientes de hurwitz; (c) neste controlador externo, como incluir a ação integral com prevenção da saturação; e (d) como definir a dinâmica dossetpoints externos.
For the geometric nonlinear control approach, the controller synthesis is elaborated directly from the nonlinear dynamics state space description of the process. This work concerns the application of the main concepts and formalisms of the geometric nonlinear control theory to typical multivariable (MIMO) chemical engineering process as illustrative case studies: the continuous nonlinear control of the distillation column and the discrete nonlinear control of the fluid catalytic cracking unit. The synthesis and the project issues of the nonlinear controller are focused separately. The controller project has the practical importance for the industrial controller applications. This work applies the methodologies to approach the following issues for the MIMO applications of the geometric nonlinear control: (a) to detune the internal nonlinear decoupling controller; (b) to define the external controller as linear pole-placement controllers with Hurwitz coefficients; (c) to include the integral action with anti-reset windup on this external controllers and (d) to define the dynamics of the external setpoints.
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Furieri, Luca. "Geometric versus Model Predictive Control based guidance algorithms for fixed-wing UAVs in the presence of very strong wind fields." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2016. http://amslaurea.unibo.it/11872/.

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The recent years have witnessed increased development of small, autonomous fixed-wing Unmanned Aerial Vehicles (UAVs). In order to unlock widespread applicability of these platforms, they need to be capable of operating under a variety of environmental conditions. Due to their small size, low weight, and low speeds, they require the capability of coping with wind speeds that are approaching or even faster than the nominal airspeed. In this thesis, a nonlinear-geometric guidance strategy is presented, addressing this problem. More broadly, a methodology is proposed for the high-level control of non-holonomic unicycle-like vehicles in the presence of strong flowfields (e.g. winds, underwater currents) which may outreach the maximum vehicle speed. The proposed strategy guarantees convergence to a safe and stable vehicle configuration with respect to the flowfield, while preserving some tracking performance with respect to the target path. As an alternative approach, an algorithm based on Model Predictive Control (MPC) is developed, and a comparison between advantages and disadvantages of both approaches is drawn. Evaluations in simulations and a challenging real-world flight experiment in very windy conditions confirm the feasibility of the proposed guidance approach.
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Books on the topic "Geometric nonlinear control"

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Nonlinear control design: Geometric, adaptive, and robust. London: Prentice Hall, 1995.

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Fliess, M., and M. Hazewinkel, eds. Algebraic and Geometric Methods in Nonlinear Control Theory. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4706-1.

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Elkin, V. I. Reduction of nonlinear control systems: A differential geometric approach. Dordrecht: Kluwer Academic Publishers, 1999.

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Elkin, V. I. Reduction of nonlinear control systems: A differential geometric approach. Dordrecht: Springer-Science+Business Media, 1999.

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Geometric, control, and numerical aspects of nonholonomic systems. Berlin: Springer, 2002.

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Nijmeijer, H. Nonlinear dynamical control systems. 3rd ed. New York: Springer, 1996.

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Nijmeijer, H. Nonlinear dynamical control systems. New York: Springer-Verlag, 1990.

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Isidori, Alberto. Nonlinear control systems. 3rd ed. Berlin: Springer, 1995.

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Hyperbolic partial differential equations and geometric optics. Providence, R.I: American Mathematical Society, 2012.

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Huijberts, H. J. C. Dynamic feedback in nonlinear synthesis problems. Amsterdam, Netherlands: Centrum voor Wiskunde en Informatica, 1994.

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Book chapters on the topic "Geometric nonlinear control"

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Corriou, Jean-Pierre. "Nonlinear Geometric Control." In Process Control, 681–724. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_17.

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Corriou, Jean-Pierre. "Nonlinear Geometric Control." In Process Control, 619–56. London: Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_17.

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Sastry, Shankar. "Geometric Nonlinear Control." In Interdisciplinary Applied Mathematics, 510–73. New York, NY: Springer New York, 1999. http://dx.doi.org/10.1007/978-1-4757-3108-8_11.

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Isidori, Alberto. "Geometric Theory of State Feedback: Tools." In Nonlinear Control Systems, 289–343. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-02581-9_6.

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Isidori, Alberto. "Geometric Theory of State Feedback: Applications." In Nonlinear Control Systems, 344–401. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-662-02581-9_7.

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Isidori, Alberto. "Geometric Theory of State Feedback: Tools." In Nonlinear Control Systems, 293–338. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-84628-615-5_6.

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Isidori, Alberto. "Geometric Theory of Nonlinear Systems: Applications." In Nonlinear Control Systems, 339–86. London: Springer London, 1995. http://dx.doi.org/10.1007/978-1-84628-615-5_7.

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Nijmeijer, Henk, and Arjan van der Schaft. "The Input-Output Decoupling Problem: Geometric Considerations." In Nonlinear Dynamical Control Systems, 251–72. New York, NY: Springer New York, 1990. http://dx.doi.org/10.1007/978-1-4757-2101-0_9.

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Krener, A. J. "Differential Geometric Methods in Nonlinear Control." In Encyclopedia of Systems and Control, 275–84. London: Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_80.

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Krener, A. J. "Differential Geometric Methods in Nonlinear Control." In Encyclopedia of Systems and Control, 1–14. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5102-9_80-1.

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Conference papers on the topic "Geometric nonlinear control"

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Tar, Jozsef K., and Imre J. Rudas. "Geometric Approach to Nonlinear Adaptive Control." In >2007 4th International Symposium on Applied Computational Intelligence and Informatics. IEEE, 2007. http://dx.doi.org/10.1109/saci.2007.375477.

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Li, Yubo, Yongqiang Cheng, Xiang Li, Hongqiang Wang, Xiaoqiang Hua, and Yuliang Qin. "Information geometric approach for nonlinear filtering." In 2017 36th Chinese Control Conference (CCC). IEEE, 2017. http://dx.doi.org/10.23919/chicc.2017.8027514.

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Feiler, Matthias J. "Global nonlinear control: A new geometric aspect." In 2008 American Control Conference (ACC '08). IEEE, 2008. http://dx.doi.org/10.1109/acc.2008.4586745.

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Menon, P. K. "Differential Geometric Estimators for Nonlinear Dynamic Systems." In AIAA Guidance, Navigation and Control Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-7393.

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Tunali, E., and T. Tarn. "Identifiability of nonlinear systems: A geometric approach." In 1985 24th IEEE Conference on Decision and Control. IEEE, 1985. http://dx.doi.org/10.1109/cdc.1985.268890.

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Andrianov, Serge N., and Nikolai S. Edamenko. "Geometric integration of nonlinear dynamical systems." In 2015 International Conference "Stability and Control Processes" in Memory of V.I. Zubov (SCP). IEEE, 2015. http://dx.doi.org/10.1109/scp.2015.7342048.

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Hassan, Ahmed M., and Haitham E. Taha. "Geometric Nonlinear Controllability Analysis for Airplane Flight Dynamics." In AIAA Guidance, Navigation, and Control Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-0079.

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Guay, M., N. Hudon, and K. Hoffner. "Geometric decomposition and potential-based representation of nonlinear systems." In 2013 American Control Conference (ACC). IEEE, 2013. http://dx.doi.org/10.1109/acc.2013.6580149.

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Meskin, N., T. Jiang, E. Sobhani, K. Khorasani, and C. A. Rabbath. "Nonlinear Geometric Approach to Fault Detection and Isolation in an Aircraft Nonlinear Longitudinal Model." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282876.

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10

Mujumdar, Anusha, and Radhakant Padhi. "Nonlinear Geometric Guidance and Di®erential Geometric Guidance of UAVs for Reactive Collision Avoidance." In AIAA Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-8315.

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Reports on the topic "Geometric nonlinear control"

1

Zhao, Feng. Practical Control Algorithms for Nonlinear Dynamical Systems Using Phase-Space Knowledge and Mixed Numeric and Geometric Computation. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada330093.

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2

Zhao, Feng. Practical Control Algorithms for Nonlinear Dynamical Systems Using Phase-Space Knowledge and Mixed Numeric and Geometric Computation. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada353610.

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