E.g. I get the desire to control prices - it's a way of feeling that one has control over important social goals. If you genuinely want to address poverty, for example, it may feel very reassuring to be able to say that food for one person should be possible to buy for X amount. If you dictate that and you're able to enforce it, then ensuring everyone earns or get at least X for food plus whatever they need for other things means you've solved their access. In theory. As long as production actually meets sufficient levels. The problem is that you're providing no effective signal into the system of how important sub-goals of this is. On the contrary, if you set prices of products across the board, you're suppressing such signals. E.g. if the agricultural sector is in dire need of new machinery and fertiliser to meet production goals for food at a certain price but can't actually bid more to get it, they depend on convincing a whole lot of people that they actually need it more. And in practice we've seen that fail time and time again.
An alternative is to focus on attempting to control the final outputs you actually care about by bidding for the outcomes you want in an open market, and leaving your control problem to one of controlling your bids to get the best outcomes possible. You can "bid" either directly - by buying contracts for e.g. delivery of food at certain prices if that is what you want - or indirectly by e.g. adjusting welfare payments to compensate for prices outside of your desired levels, or a whole lot of similar mechanisms.
In that context cybernetic thinking can still have a place in terms of control loops to try to keep competing outputs within reasonable parameters based on as up-to-date information of factors that may affect prices as possible.
The point is that you get the best out of dynamic systems when you focus on controlling only the bits you actually care about well rather than imagining you know how it all hangs together and trying to control all the intermediate steps in detail because the latter requires you to keep up to date with every aspect of the most cost effective ways of meeting your targets. Not least, by focusing on controlling outputs you allow for redundancy in the methods used to achieve them that has a good shot at mitigating failures, as well as to avoid catastrophic results of conflicting priorities.
(EDIT: I'm involved in another discussion about typing in programming languages, and the paragraphs above actually fit into much of my thinking of static vs. dynamic typing as well as in much of life in general: A lot of problems are tempting to solve by exerting as much control as possible, but in dynamic, fast changing system expending your effort on exerting the control only over the things you actually care about allows for a more flexible overall system)
Even for a socialist system there's absolutely no ideological reasons for requiring central planning. The notion of the need to do away with market mechanisms as planning signals in favour of a central, state controlled plan, was largely a Bolshevik conceit that a lot of other socialist ideologies strongly disagreed with (not least because many of them want to dismantle the state, leaving no organ with power to enforce central planning). But at the time there was also a severely lacking understanding of the inherent complexity of large scale planning mixed with a rather unjustified optimism about the ability of humanity to overcome them.
EDIT: Allende represented a mid-point - nowhere near going as far as the Bolsheviks, and Cybersyn addressed a lot of problems in introducing feedback loops rather than strict central planning, to be clear.