ABSTRACT
In the title compound, [CaCo(3)(C(4)H(5)NO(4))(3)(OH)(3)O(H(2)O)(5)]·2.54H(2)O, the Co atom is octa-hedrally coordinated by one imino-diacetate (ida) dianion as a facial O,N,O'-tridentate ligand, two µ(3)-OH groups and one µ(3)-O ligand, forming an partial Co(3)O(4) cubane cluster. This unit coordinates to a Ca(II) cation in an O,O',O''-tridentate fashion, generating a distorted CaCo(3)O(4) cubane-type cluster. The Ca-µ(3)-O distances [2.429â (5)-2.572â (6)â Å] are much longer than the Co-µ(3)-O bonds [1.895â (5)-1.941â (5)â Å]. The Ca(II) cation is also coord-inated by five water mol-ecules with Ca-O distances in the range 2.355â (6)-2.543â (6)â Å. There are three additional uncoordinated water mol-ecules in the asymmetric unit, the occupancy of which refined to 0.54â (3). In H(2)O (or D(2)O), the title complex hydrolyses to Ca(2+) (aq) cations and [Co(3)(ida)(3)(µ(2)-OH)(3)(µ(3)-O)](2-) anions.
ABSTRACT
Originating from a viewpoint that complex/chaotic dynamics would play an important role in biological system including brains, chaotic dynamics introduced in a recurrent neural network was applied to control. The results of computer experiment was successfully implemented into a novel autonomous roving robot, which can only catch rough target information with uncertainty by a few sensors. It was employed to solve practical two-dimensional mazes using adaptive neural dynamics generated by the recurrent neural network in which four prototype simple motions are embedded. Adaptive switching of a system parameter in the neural network results in stationary motion or chaotic motion depending on dynamical situations. The results of hardware implementation and practical experiment using it show that, in given two-dimensional mazes, the robot can successfully avoid obstacles and reach the target. Therefore, we believe that chaotic dynamics has novel potential capability in controlling, and could be utilized to practical engineering application.
