... cases to find an appropriate approach yielding a satisfactory balance between computational complexity, and conservatism of the error calculations For example, the framework of min-max feedback-MPC ... 462 – 471 Tang, Y (1996) Simple robust adaptive control for a class of non-linear systems: an adaptive signal synthesis approach, International Journal of Adaptive Control and Signal Processing ... infinite tail of the cost accumulation using a penalty surface derived from either a local solution of the Dynamic Programming surface, or an appropriate approximation of that surface As such,...
... Force–feedback interaction with a neural oscillator model: for shared human robotcontrolofa virtual percussion instrument Edgar Berdahl∗ (edgar.berdahl@imag.fr), Claude Cadoz (claude.cadoz@imag.fr) and ... Using a mechanical analog parameterization, we derive a force–feedback model structure that enables a human to share con- trol ofa virtual percussion instrument with a “robotic” neural oscillator ... For example, Ajay Kapur has designed a robotic drummer that automatically plays along with real human performers, such as sitar players [4] Similarly, researchers at the Georgia Institute of Technology...
... for variable x j at time t − in the driving function of variable xi If variable x j is an activator of variable xi , then a ji = 1; if variable x j is an inhibitor of variable x j , then a ji ... with what is observed in nature Axiom (iv) means that the system has a main trajectory, that is, one that is much more probable than the others Axiom (v) means that genes act as a nonlinear gate ... that is, in time intervals Axiom (ii) imposes that all states are reachable, that is, noise may lead the system to any state It is a quite general model that reflects our lack of knowledge about...
... (1993, May) Structural properties and classification of kinematic and dynamic models of wheeled mobile robots In Proc IEEE International Conference on Robotics and Automation, Atlanta, GA, pp 462–469 ... work of all the individuals stable platform for mobile manipulation there, especially Anthony del Balso, Rich Legrand, We have also described a new approach for a mod- Jim Slater and John Slater ... and Asada 1994) More recently, a velocity controlled, powered caster prototype robot was demonstrated (Wada and Mori 1996) A dynamically-controlled, holonomic mobile robot is particularly desirable...
... However, most of the approaches make the assumption that state variables are measurable, while only output variables are measurable in practice Thus the application of all above state feedback controllers ... The analysis and controlof physical systems are often centered around mathematical models State space model has become the most popular framework under which system theory and various control ... dead time models, such as FOPDT, IPDT and SOPDT, are often adopted as system models for monovariable plants in process industry[85] Practical applications demonstrate that they are simple and accurate...
... introduced by Sharon and Hogan [2] as a general means of improving arobot s controlled dynamic behavior The Macro manipulator carries the Micro manipulator to the nearby area ofa task, where the ... computational/software models of the Macro and the Mini manipulators separately, analyzing their kinematics, dynamics; Simulating trajectory tracking / position controlof Macro and Mini manipulators ... appropriate controller design, offers a possible solution to a wide range of applications that require fast, and precise manipulation over a large workspace [2] There are several advantages offered...
... introduced by Sharon and Hogan [2] as a general means of improving arobot s controlled dynamic behavior The Macro manipulator carries the Micro manipulator to the nearby area ofa task, where the ... computational/software models of the Macro and the Mini manipulators separately, analyzing their kinematics, dynamics; Simulating trajectory tracking / position controlof Macro and Mini manipulators ... appropriate controller design, offers a possible solution to a wide range of applications that require fast, and precise manipulation over a large workspace [2] There are several advantages offered...
... the actuators require The advantage of planning in Cartesian space is that path planning is on parameters with resultant of motions of many actuators, instead of going down to plan the paths of ... learning and (5) divide-and-conquer 2.2.1 Model- based approach In model- based approach, mathematical models derived from laws of physics are used to generate control algorithm Approximations are ... complexity ofa humanoid robot, walking stably is a challenging task Even human beings need months to learn how to walk Bipedal walking control has been the focus for many researchers And many approaches...
... repetitive and hazardous tasks can be dated back to the era of ancient Greek and Egyptian with their automata More recently, Leonardo da Vinci, a talented and famous Italian artist and engineer ... humanoid robot, which is capable of walking stably and performing some basic soccer playing skills such as approaching a ball and kicking it toward a goal, defending a goal, avoiding obstacles ... commercial robots such as ASIMO, Qrio, HOAP, HRP, and H7 However, it is still far away from the final goal that aims at making humanoid robota companion of human in factory, outdoor, at home...
... [19] Hasnain, S.M., Alawaji, S.H., A1 -Ibrahim, A and Smiai, M.S (1999), Application of Thermal Energy Storage in Saudi Arabia International Journal of Energy Research, vol 23, pp 117-124 [20] Zaheer-uddin, ... department of Mechanical Engineering and Materials Science at Washington University in St Louis, MO, USA He is a Fellow of ASME, AIAA, IEEE, and SAE E-mail address: rka@wustl.edu Huijun Gao received ... was created to simulate the temperature of the exterior wall of the room This temperature curve simulated the exterior surface and was assumed to be at a constant value of 320K A 3-D Cartesian...
... elementary behavior of wall-following type including the creation of transition sub-goals develop a second strategy S2 As a matter of fact, the idea is to anticipate in order to avoid a potential ... This means that the rough and manual tuning of the parameters of the fuzzy controller is replaced by a fine local automatic tuning and Table Angular speed coefficient rules Table Linguistic table ... navigation ofa mobile robot in partially known environment such as inside an of ce or a flat In such cases, a plan of the evolution zone of the robot containing most of its fixed features can be...
... self-inductance and the mutualinductance of the stator coils Since we assume a constant airgap and no saturation, L, and M, are constant ara arb , and arc the rotor fluxes induced in the stator phases are ... are surface mounted and have the same permeability as air As a result, the armature reaction is negligible The magnetic circuit has an important air part so that the effects of the saturation in ... advantages as the Park transformation A Mathematical Modelof the BDCM We suppose that the motor has the following typical features : - The airgap length is constant and large since the magnets are...
... 1, January 1991, pp 62-72 [2] Takao Kawabata, Takeshi Miyashita and Yushin Yamamoto, "Dead Beat Controlof threePhase PWM Inverter", IEEE Transactions on Power Electronics, Vol 5, No 1, January ... that it does not affect the output voltage References [1] Takao Kawabata, Takeshi Miyashita and Yushin Yamamoto, "Digital Controlof three-Phase Inverter with LC Filter", IEEE Transactions on Power ... c controllable dc link volta as indica in the ri age ated ight hand sub b diagram d Figure capacitor v voltage of the output filt with unbalanced load and controlled DC lin ter d o nk vo oltage...
... Identification Tohru Katayama Digital Control Systems Ioan D Landau and Gianluca Zito Multivariable Computer-controlled Systems Efim N Rosenwasser and Bernhard P Lampe Dissipative Systems Analysis and ... Graichen, Peter Hokayem, Achim Ilchmann, Andreas Kugi, Daniel Limón, Jan Lunze, Lalo Magni, Manfred Morari, Davide Raimondo, Sa a Rakovi´ , Jörg Rambau, Jim Rawlc ings, Markus Reble, Oana Serea ... Vidyasagar Constrained Control and Estimation Graham C Goodwin, Maria M Seron and José A De Doná Randomized Algorithms for Analysis and Controlof Uncertain Systems Roberto Tempo, Giuseppe Calafiore...
... control method had been firstly tested onto a virtual-reality modelofa 15 DoFs hand [40] Simulations of hand movement were performed employing a real human hand PCs matrix available from Santello ... Ferrata 1, 27100 Pavia, Italy 2ARTS Lab, Scuola Superiore Sant’Anna, V.le Piaggio 34, 56025 Pontedera (PI), Italy 3EUCENTRE Foundation, Via Ferrata 1, 27100 Pavia, Italy Page 12 of 13 Authors’ contributions ... signal As a matter of fact, increasing the number of DoFs (i e dexterity) means either that the system should take care of carrying out the grasp with some level of automatism, as in the SAMS...
... Management of Hybrid Electric Vehicles Sajjad Fekri and Francis Assadian Chapter Fast Nonlinear ModelPredictiveControl using Second Order Volterra Models Based Multi-agent Approach 29 Bennasr ... Suhairi Abdul Sata and Norashid Aziz Chapter 14 Using ModelPredictiveControl for Local Navigation of Mobile Robots Lluís Pacheco, Xavier Cufí and Ningsu Luo 291 Chapter 15 ModelPredictiveControl ... China Part New Theory ofModelPredictiveControl Fast ModelPredictiveControl and its Application to Energy Management of Hybrid Electric Vehicles Sajjad Fekri and Francis Assadian Automotive...
... main reasons for its application in the industry is that it can take account of physical and operational constraints In classical modelpredictivecontrol (MPC), the control action at each time ... square of the control signal, SSΔU the sum of the square of the change of the control signal and N is the number of samples The values are summarized in Table1, shows that the MAMPC achieving control ... Proceedings of the European Control Conference, Karlshruhe, Germany Haber R and Bars R and Engel L(1999b) Sub-optimal Nonlinear Predictive and Adaptive Control based on the Parametric Volterra Model, Applied...