hsim-live/exm/main.zls

180 lines
4 KiB
Text
Raw Blame History

This file contains invisible Unicode characters

This file contains invisible Unicode characters that are indistinguishable to humans but may be processed differently by a computer. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

(** Zélus:Hybrid system programming language
- Model discrete systems and their continuous environment
- Research language, design space for hybrid system modelers
- Compilation to OCaml, execution with an off-the-shelf ODE solver
- Developed by M. Pouzet and T. Bourke in the Inria PARKAS team *)
(** Plan:
- Zélus, the synchronous part
- Physical simulation, ODEs, and ODE solvers
- Zélus, the hybrid part
- Mixing discrete and continuous time, zero-crossing detection
- Informal operational semantics
- Low-level representation and runtime *)
(** Synchronous language kernel _à la_ Lustre:
- programs are Mealy machines (outputs on each transition)
- variables represent streams of values in time *)
let node incr x = y where
y = x + 1
(* x │ 8 3 2 7 5 3 …
────────┼─────────────────────
incr x │ 9 4 3 8 6 4 … *)
(** - we can use values of the previous instants with [pre] and
initialize streams with [->] *)
let node accumulate x = z where
rec z = x -> (pre z) + x
(* x │ 1 2 5 2 5 3 …
──────────────┼─────────────────────
pre x │ 1 2 5 2 5 …
0 -> x │ 0 2 5 2 5 3 …
0 -> pre x │ 0 1 2 5 2 5 …
accumulate x │ 1 3 8 10 15 18 … *)
let node fib () = n where
rec n = 0 -> pre (1 -> pre(n) + n)
(** - causality loops are forbidden ([rec x = x]) *)
(** - we can reset streams at will *)
let node stay x = y where (* output the first value forever *)
rec y = x -> pre y
let node from x = y where (* count up from the first value *)
rec y = x -> pre y + 1
let node loop x = y where
rec y = reset from 0 every z
and z = false -> pre y >= w
and w = stay x
(* x │ 2 _ _ _ _ _ …
────────┼─────────────────────
loop x │ 0 1 2 0 1 2 … *)
(** Calculus reminder:
- Ordinary differential equations (ODEs), initial value problems
- A little background on solvers *)
(** Already able to model physical behaviours! *)
let dt = 0.01 (* Integration step *)
let g = 9.81 (* Gravitational constant *)
let node f_integr (x0, x') = x where (* Forward Euler integrator *)
rec x = x0 -> pre (x +. x' *. dt)
let node b_integr (x0, x') = x where (* Backward Euler integrator *)
rec x = x0 -> (pre x) +. x' *. dt
let node bouncing_ball (p0, v0) = p where
rec p = reset f_integr (q, v) every z
and v = reset b_integr (w, -. g) every z
and q = p0 -> 0.0 and w = v0 -> -0.8 *. (pre v)
and z = false -> (pre p) < 0.0
(** Cumbersome, and error-prone! *)
let node sincos () = (sin, cos) where
rec sin = f_integr (0.0, cos) (** [(dsin/dt) t = cos t, sin 0 = 0] *)
and cos = f_integr (1.0, -. sin) (** [(dcos/dt) t = -sin t, cos 0 = 1] *)
(** Enter continuous-time constructs:
- express values with initial value problems with [der] and [init] *)
let hybrid integr (x0, x') = x where
der x = x' init x0
let hybrid time () = t where
der t = 1.0 init 0.0
let hybrid falling_ball (p0, v0) = p where
rec der p = v init p0
and der v = -. g init v0
(** How do we mix discrete time and continuous time together? *)
(** - mix discrete and continuous code with [up], [present], [reset]
and [last] *)
let hybrid bouncing_ball (p0, v0) = p where
rec der p = v init p0 reset z -> 0.0
and der v = -. g init v0 reset z -> -0.8 *. last v
and z = up(-. p)
let hybrid time_bounces (p0, v0) = (p, b) where
rec p = bouncing_ball (p0, v0)
and der t = 1.0 init 0.0
and init b = 0.0
and present up(-. p) -> do
b = t -. last b
done