[1] Ollero A, Merino L. Control and perception techniques for aerial robotics. Annual Reviews in Control, 2004, 28, 167–178.
[2] Dufresne S, Johnson C, Mavris D N. Variable fidelity conceptual design environment for revolutionary unmanned aerial vehicles. Journal of Aircraft, 2008, 45, 1405–1418.
[3] Samad T, Bay J S, Godbole D. Network-centric systems for military operations in urban terrain: The role of UAVs. Proceeding of the IEEE, 2007, 95, 92–107.
[4] Verschure P, Voegtlin T, Douglas R J. Environmentally mediated synergy between perception and behavior in mobile robots. Nature, 2003, 425, 620–624.
[5] Verschure P, Althaus P. A real-world rational agent: Unifying old and new AI. Cognitive Science, 2003, 27, 561–590.
[6] Freeman W J. Simulation of chaotic EEG patterns with a dynamic model of the olfactory system. Biological Cybernetics, 1987, 56, 139–150.
[7] Freeman W J. The physiology of perception. Scientific American, 1991, 264, 78–85.
[8] Freeman W J. A neurobiological theory of meaning in perception. Part I: Information and meaning in nonconvergent and nonlocal brain dynamincs. International Journal of Bifurcation and Chaos, 2003, 13, 2493–2511.
[9] Freeman W J. How and why brains create meaning from sensory information. International Journal of Bifurcation and Chaos, 2004, 14, 515–530.
[10] Li X, Li G, Wang L, Freeman W J. Study of a bionic pattern classifier based on olfactory neural system. Journal of Bionic Engineering, 2004, 1, 133–140.
[11] Harter D, Kozma R. Chaotic neurodynamics for autonomous agents. IEEE Transactions on Neural Networks, 2005, 16, 565–579.
[12] Kozma R, Freeman W J. Basic principles of the KIV model and its application to the navigation problem. Journal of Integrative Neuroscience, 2003, 2, 125–145.
[13] Bae Y, Kim J, Kim Y. Obstacle avoidance methods in the chaotic mobile robot with integrated some chaos equation. International Journal of Fuzzy Logic and Intelligent Systems, 2003, 3, 206–214.
[14] Arena P, De Fiore S, Fortuna L, Patané L. Perception-action map learning in controlled multiscroll systems applied to robot navigation. Chaos: An Interdisciplinary Journal of Nonlinear Science, 2008, 18, 1–16.
[15] Kozma R, Freeman W J. The KIV model of intentional dynamics and decision making. Neural Networks, 2008, 22, 277–285.
[16] Yalcin M E, Suykens J A K, Vandewalle J. True random bit generation from a double scroll attractor. IEEE Transactions on Circuits and Systems I: Regular Papers, 2004, 51, 1395–1404.
[17] Lu J, Chen G, Yu X, Leung H. Design and analysis of multiscroll chaotic attractors from saturated function series. IEEE Transactions on Circuits and Systems I: Regular Papers, 2004, 51, 2476–2490.
[18] Lu J, Han F, Yu X, Chen G. Generating 3-D multi-scroll chaotic attractors: A hysteresis series. Automatica, 2004, 40, 1677–1687.
[19] Ahmad W M. Generation and control of multi-scroll chaotic attractors in fractional order systems. Chaos, Solitons and Fractals, 2005, 25, 727–735.
[20] Yalcin M E. Multi-scroll and hypercube attractors from a general jerk circuit using Josephson junctions. Chaos, Solitons and Fractals, 2007, 34, 1659–1666.
[21] Pyragas K. Continuous control of chaos by self-controlling feedback. Physics Letters A, 1992, 170, 421–428.
Khatib O. Real-time obstacle avoidance for manipulators and mobile robots. International Journal of Robotics Research, 1986, 5, 90–98 |